CakeResume Talent Search

Advanced filters
On
4-6 years
6-10 years
10-15 years
More than 15 years
Avatar of 江長志.
Avatar of 江長志.
技術總監 L2 @和雲行動服務股份有限公司 (和泰汽車集團)
2022 ~ Present
Project Lead / Tech Lead / Team Lead / Senior Engineer
Within one month
Python、K8s、微服務、FastAPI、Django和專案管理, CI/CD 工作經歷 技術總監 L2 • 和雲行動服務股份有限公司 (和泰汽車集團) 六月Present | Taipei, Taiwan ★ 擔任 Python Team Lead 一職 ★ 從零開始建立Python團隊, 包含: CI/CD, Coding Style, Team Groud Rule. ★ 開發Vehicle Gateway系統,實現每分鐘處理4000次請求 ★ 為PM & Engineer & 利害
django
Python
django rest framework
Reputation Credits1
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
Asia University / 亞洲大學
生物資訊
Avatar of the user.
Avatar of the user.
Junior Project Manager @fable 寓意科技
2024 ~ Present
Data mining ,Bigdata Architecture,python developer
Within one month
Communication Skills
Empowering Others
Coaching & Mentoring
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
銘傳大學 Ming Chuan University, MCU
Computer Communication Engineer
Avatar of 潘揚燊.
Avatar of 潘揚燊.
智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ Present
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
您好,我是潘揚燊,目前任職於 聯華電子 , 擔任 智慧製造 全端開發工程師 , 畢業於元智大學工業工程與管理學系研究所。 熟悉 Python、C#、R 語言,能善用人工智慧、深度學習、影像處理、統計分析、數據分析與文字探勘等;也曾使用 Flexsim 3D 模擬系統,來建立各種
Python
Qt
Git
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學
工業工程與管理學系所
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ Present
Software Engineer
Within one month
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Python
AI & Machine Learning
Image Processing
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
生物產業機電工程所
Avatar of 李孟霖.
Avatar of 李孟霖.
資深資料工程師 @緯創資通股份有限公司
2020 ~ Present
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst、Solution Architect、Cloud Architect
Within one month
評鑑作業效率提升系統建置、居家護理機構平台建置專案(1700萬) 學歷 私立元智大學 工業工程與管理學系 碩士,2016/09~2018/10 (畢業) 私立元智大學 工業工程與管理學系 大學,2012/09~2016/06 (畢業) 技能 程式語言 Python (including Airflow) PostgreSQL 軟體/平台應用 Power Platform (Power BI、Power Automate、PowerApps) UiPath Azure
python
PowerBI
Power Platform
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學 Yuan Ze University
工業工程與管理學所
Avatar of 黃凱弘 Kyle Huang.
Avatar of 黃凱弘 Kyle Huang.
Past
Senior QA engineer @DeepHow
2023 ~ Present
QA automation engineer / Software development engineer in test
Within one month
黃凱弘 Kyle Huang 7 年經驗的軟體手動 & 自動化 QA,喜歡用 Python 撰寫各種小工具解決生活中許多 routine 的工作 QA automation engineer / Software development engineer in test Taipei/ Hsinchu, TW [email protected] Manual Test planning Establish test cases Writing test reports New function testing, regression testing, user acceptance testing (UAT) Bug tracking Test case management: TestRail , Testmo Issue management: Jira, FogBugz Automation Programing language: Python Framework: Appium, Selenium, Unittest, Pytest, Allure DB: PostgreSQL, NoSQL
Python
Appium
SQL
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立中山大學 National Sun Yat-Sen University
應用數學系 統計組
Avatar of the user.
Avatar of the user.
Past
android工程師/後端工程師/資深工程師 @迅智網路
2021 ~ 2024
Within one month
python
FastAPI(Python)
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
長庚大學
電機工程研究所, undefined
Avatar of 宋浩茹 Ellie Sung.
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn | GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow
Python
R
Natural Language Processing (NLP)
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學(National Chengchi University)
資訊科學系
Avatar of 邱義塵.
Avatar of 邱義塵.
Past
Data Engineer @Rooit Inc. (XO App)
2023 ~ 2023
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
試 - 統整和回報專案和測試進程 - 自動下注驗證RTP分布機率是否正常 - 協助計算遊戲機率和賭場優勢 Rooit inc., Data Engineer, Jan 2023 ~ Oct 2023 Python/MongoDB/Business Analysis/Data Analysis/Bigquery/Redis/Tableau/Neo4J/Flask - 利用Python爬取大陸論壇的人物照片擷取可用5000張圖片進行推薦 - 使用Selenium進行
Python
Data Analysis
Data Science
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
中國醫藥大學(China Medical University)
臨床醫學研究所
Avatar of the user.
Avatar of the user.
Senior engineer @Chicony Electronics Co, Ltd.
2018 ~ Present
全端工程師、後端工程師、前端工程師、軟體專案主管、AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
Python
C
C++
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan Ocean University
Computer science and engineering

The Most Lightweight and Effective Recruiting Plan

Search resumes and take the initiative to contact job applicants for higher recruiting efficiency. The Choice of Hundreds of Companies.

  • Browse all search results
  • Unlimited access to start new conversations
  • Resumes accessible for only paid companies
  • View users’ email address & phone numbers
Search Tips
1
Search a precise keyword combination
senior backend php
If the number of the search result is not enough, you can remove the less important keywords
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
Only public resumes are available with the free plan.
Upgrade to an advanced plan to view all search results including tens of thousands of resumes exclusive on CakeResume.

Definition of Reputation Credits

Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Within one month
Senior Data Engineer at Paktor x M17 Entertainment Group | AWS x GCP x Azure Big Data Specialist | Data Architect
Logo of KKCompany.
KKCompany
2023 ~ Present
Taiwan
Professional Background
Current status
Employed
Job Search Progress
Open to opportunities
Professions
Data Engineer, Back-end Engineer
Fields of Employment
Software
Work experience
10-15 years
Management
I've had experience in managing 1-5 people
Skills
Big Data
Data Engineering
ETL
AWS
GCP
Python
BigQuery
Data Warehouse
Data Pipeline
Java
Azure
SQL
Spark
kafka
spark streaming
Scala
Redshift
HBase
SQL Server
AWS S3
AWS Lambda
MongoDB
Hadoop
Hadoop Distributed File System
AWS SQS
Azure Storage
MySQL
PostgreSQL
Postman for API
Snowflake
Languages
English
Professional
Chinese
Native or Bilingual
Job search preferences
Positions
Backend Engineer, Data Engineer, MLOps Engineer
Job types
Full-time
Locations
Taiwan, 台灣, Singapore, Hong Kong
Remote
Interested in working remotely
Freelance
No
Educations
School
National Taiwan University
Major
EMBA Programs, Business Administration, Accounting, Finance and International Business.
Print
Ahzwaym2ourqm1t0glsc

Chin-Hung (Wilson) Liu

I am a lead architect responsible for designing and implementing a large-scale data pipeline for Lomotif, Paktor x 17LIVE, utilizing GCP/AWS/Python/Scala, in collaboration with data science and machine learning teams in Singapore and TW HQ, as well as with the Hadoop ecosystem (HDFS/HBase/Kafka) at JSpectrum in Hong Kong and Sydney. 


With over 15 years of experience in designing and developing Java/Scala/Python-based applications for daily operations, I bring:

● At least 8 years of experience in data analysis, pipeline design and development, and tool building as a team member. 

● In-depth knowledge of the Spark and Hadoop ecosystems, including Hadoop, HDFS, HBase, and more. 
● Strong skills in designing and developing Big Data services on AWS and GCP. 
 Extensive expertise in developing generic distributed systems, streaming processing, machine learning pipelines, and continuously improving ML models.


Senior Data Engineer at Paktor x 17LIVE| AWS Big Data Specialist | Data Architect 
Singapore / Hong Kong / Taiwan

[email protected]

https://www.linkedin.com/in/chin-hung-wilson-liu-29392957

Nanxing Rd., Xizhi Dist., New Taipei City, Taiwan (R.O.C.)

Experience 

Senior Data Engineer (DataOps / AI) / Lomotif Private Limited / Singapore

Jul. 2021 - Present.

Description and Responsibilities: Lomotif is a leading short video social platform in South America and India that holds PBs of videos in buckets and serves millions of users. DataOps and AI team take part in many challenging projects e.g. Ncanto, XROAD services, Ray Serve, and scalable model serving frameworks for support the recommendation and moderation pipeline, also integrated Universal Music Group music (UMG) and full catalog feed with 7digital. DataOps team handling 10TB+ data for day-to-day operation, moderating model training results, and designing SLIs/SLOs for EKS Clusters. More responsibilities/details as below.

  • Optimize music (UMG) pipeline with queries and memories for Elasticsearch and PostgreSQL, the pipeline saving 90% execution time from 10+ hours to 40 mins.
  • Migrate service from apache spark, AWS Data Lake Formation to AWS MWAA, EKS airflow environment. 
  • Design, and deliver distributed system for Ray Serve with AI team.
  • Design, and implement a modern machine learning pipeline for a recommendation, and moderation pipe.
  • Design SLA and implement alert log reporting system (history logs) for moderation pipeline, histories logs handling application, server levels information for further investigation.
  • Supporting other departments to gather data in the appropriate platforms.
Tech Stacks : 
  • Streaming, Snowpipe/Kinesis/Firehose
  • Monitoring, CloudWatch/Grafana
  • Orchestration, AWS MWAA / Airflow
  • Kubernetes, EKS
  • Message, SQS/SNS
  • MLflow, Ray Serve/EMR/Lambda
  • Storage, Snowflake / RDS (PostgreSQL) / ElastiCache (Redis) / Elastic search
  • Bucket, AWS S3
Reports to : VP of Data Engineering


Senior Data Engineer / Handshakes by DC Frontiers / Singapore

Oct. 2020 - May. 2021.

Description and Responsibilities: The main responsibility of the engineering team is launching ScoutAsia by Nikkei and The Financial Times Nikkei content to SGX TitanOTC's platform. Titan Users will be able to access Nikkei news articles from across 11 categories, including equities, stocks, indices, foreign exchange, and iron ore. DPP (Data team) is processing hundreds of GB articles/market/financial/relationships and organization for day-to-day operation on Azure and on-premise environments. More responsibilities/details as below.

  • Identifying, digging bottlenecks, and problem-solving especially optimizing the performance of SQL Server, NoSQL (Azure Cosmos), resource units, and message queues, reducing/saving almost 50-75% of resources. 
  • Identifying and solving the problems between machine learning/backend/frontend/DDP side and giving the advance logical/physical design of a system. Displayed technical expertise in optimizing the databases and improving the data pipeline to achieve the objective.
  • Bring in industry standards to data management to deliver data at the end objective. 
  • Building, and recruiting the new data engineering staff for the next-generation, enterprise data pipeline.
Tech Stacks : 
  • Storage, Azure Cosmos DB/Gremlin/SQL Server/MYSQL/Redis
  • Storage (Bucket), Azure Blob/AWS S3
  • Streaming/Batch/transform, Spark/Scala (90% codebase coverage)
  • Message, Azure service bus, queue storage
  • Search, Elastic search
  • Algorithm, graph/concordance
Reports to : CTO

Senior Data Engineer / 17LIVE Inc. / Taiwan, Taipei.

Feb. 2020 - Jul. 2020

Description and Responsibilities: The big challenge of 17 Media data teams is facing fast-growing data volume (processing 5-10x TB level daily), complex cooperation with stakeholders, the cost optimization of the pipeline, and refactoring big latency systems .etc. As a senior data member, I’m making a data dictionary and trying to explain/design how the whole pipeline works with each component, especially how to solve those bottlenecks. More responsibilities/details as below. 

  • Leading, and architect large-scale data pipeline for supporting scientists and shareholders. 
  • Optimize, ensure quality and play a tough role in data lake projects/data pipes. infrastructure. 
  • Define, and design stage, dimension, production, and fact tables for data warehouse (BigQuery). 
  • Coordinate with client / QA / backend team for QC lists / MongoDB change stream workers. 
  • Architect workflows with those components, Dataflow, Cloud Functions, and GCS. 
  • Recruiting (Jr./Sr.) data engineering members, setting goals, and sprint management.

Tech Stacks : 

  • Storage, GCS/BigQuery/Firebase/MongoDB/MYSQL 
  • Realtime process and Message system, DataFlow (Apache Beam) / BigQuery Streaming / MongoDB Change Stream / Fluentd / Firebase / Pub/Sub 
  • ETL/ELT workflow, Digdag / Embulk 
  • Data warehouse, Visualization, BigQuery / Superset / Chartio / Data Studio 
  • Continuous deployment, docker, CricleCI 

Reports to : Data Head

Data Engineer / Paktor Pte. Ltd. / Singapore 

Sep. 2015 - Dec. 2019.

Description and Responsibilities : This is another 0 to 1 story. As an early data member, we need to figure out the data driven policy, strategies, engineering requirements from the company. In Paktor, data / backend sides are 100% on AWS, therefore the whole data ingestion, automation and data warehouse etc. are relying on those components. We are processing 50-100x GB realtime / batch jobs and the other data sources (RDBMS, APIs) for ETL/ELT on S3, Redshift, the data platform helps our marketing / HQ scientists team getting data into insights and making good decisions. More responsibilities / details as below. 

  • Supports Big Data and batch, real-time analytical solutions leveraging transformational technologies. 
  • Optimize data pipeline on AWS using Kinesis-Firehose/Lambda/Kinesis Analytics/Data Pipeline, and optimize, resizing Redshift clusters and related scripts. 
  • Translates complex analytics requirements into detailed architecture, design, and high performing software such as machine-learning, CI/CD of recommendation pipeline. 
  • Collaborate with client / backend side developers to formulate innovative solutions to experiment and implement related algorithms. 

Tech Stacks : 

  • Storage, S3/Redshift/Aurora - Realtime process and Message system, Kinesis Firehose / SNS 
  • Data warehouse, Visualization, Redshift / Klipfolio / Metabase 
  • ETL/ELT workflow, Lambda / SNS / Batch / Python 
  • Recommendation, ML, DynamoDB / EMR / Spark / Sagemaker 
  • Metadata management, Athena (presto) / Glue / Redshift Spectrum 
  • Continuous deployment, Elasticbeanstalk / Cloudformation 
  • Operations, PagerDuty / Zapier / Cloud Watch 

Reports to : CTO, Data Head

System Analyst (Data Backend Engineer) / JSpectrum Software Limited / Hong Kong 

 Jan. 2014 - Aug 2015.

Description and Responsibilities : JSPectrum is a leading passive location-based service company in Hong Kong which holds many interesting products such as NetProbe, NetWhere, NetAd etc. In Optus (The main project in Sydney), the main responsibility of system analyst is designing / implementing data ingestion (real-time processing) / load and management data with major components of the Hadoop ecosystem. We meet the challenge to process 15,000 TPS, 60,000 inserts per second and 300 GB daily storages, therefore we are trying to optimize those components with Kafka consumers, HDFS storages and re-designing keys / columns of HBase to fulfill the requirement and deployed NetAd, whole in-house solutions on Optus. More responsibilities / details as below. 

  • Design, implement and optimize Hadoop ecosystems, MLP, real-time processing on Optus in house servers with our main product NetAd, NetWhere. We are focusing on HBase schema, HDFS, balancing Kafka consumers and more issues on data ingestion. 
  • Collaborate with shareholders and LBS team members for further requirements with HeapMap. 

Tech Stacks : 

  • Storage, HDFS / HBase
  • Realtime process and Message system, Kafka streaming, Log systems 
  • Data warehouse, Visualization, HBase / NetWhere (Dashboard) 
  • Hadoop ecosystem, Hadoop / HDFS / Zookeeper / Spark / Hive
  • ETL/ELT workflow, Spark / Hive / Scala / Java

Reports to : CTO


Senior Software Engineer / Toro Development Ltd. / Taiwan, Taipei. 

Oct. 2012 - Dec. 2013.

Description and Responsibilities : TORO is a technology business that provides a mobile platform and its associated systems, services and rules to help Brands (with initial focus on Sports Teams, Smart Cities and Streaming apps) become super-apps to generate additional revenue with minimum effort. Responsibilities as below. 

  • Design, implement and test back-office modules for NFC wallet platform, Trusted Service Managers (TSM) and distributed NFC services to end­ users / stakeholders. 
  • Implement RESTful services and deliver endpoints for wallet managers and collaborating with front­end, backend teams for further business requirements. 

Tech Stacks: MYSQL / Spring / Hibernate / XML / Apache Camel / Java / POJO .etc. 

Reports to : Head of Server Solutions


Software Engineer / Digital River / Taiwan, Taipei. 

Oct. 2011 - Sep. 2012.

Description and Responsibilities : Digital river proactive partners, providing API-based Payments & Risk, Order Management and Commerce services to leading enterprise brands. The big challenge to DR is integrating with the current module and working well with a huge code base (over 2+ millions lines), the strict process including analysis requirements, design, implement, test and code review. More responsibilities as below. 

  • Design, implement custom bundle project, bundle customized by shoppers to pick products of groups and get special discounts, the main stakeholders /users from Logitech, Microsoft. 
  • Analysis, collect business requirements, identify use cases and collaborate with business analysts and deliver related diagrams, documents. 

Tech Stacks: Oracle / Tomcat / Spring / Struts / JDO / XML / JUnit / Java / J2EE .etc. 

Reports to : Technical Development Manager


Technical Supervisor / Stark Technology Inc. / Taiwan, Taipei. 

Oct. 2008 - Sep. 2011.

Description and Responsibilities : Stark Technology (STI) is the largest domestic system integrator in Taiwan. We plan and deliver complete ICT solutions for a wide spectrum of industries through representing and reselling the world's leading products. This is made possible by using the most advanced technology, and providing the best professional services. More responsibilities / projects as below. 

  • Lead, coach JR. programmers for the development process of enterprise modules, and design Fatwire CMS components as Template/Page/Cache .etc. 
  • Design, analyze DMDB systems, and implement functions to meet the requirements of queries / storage. Optimize performance for online servers and GC tuning. 

Tech Stacks : Oracle / Sybase / Tomcat / Weblogic / Spring / Struts / Hibernate / Fatwire / Java / J2EE .etc. 

Reports to : Technical Manager


Relevant Skills and Qualifications


Big Data Tech Stacks

  • AWS Services, EC2/S3/Lambda/EMR/CloudWatch/SNS/SQS/Elastic Beanstalk 
  • AWS Big Data Solutions, Kinesis/Firehose/Athena/Redshift/Dynamodb 
  • GCP Big Data Solutions, BigQuery/PubSub/Dataflow/Cloud Functions 
  • Hadoop ecosystem, Hadoop/HDFS/Zookeeper/Hbase/Hive 
  • Spark Streaming/Apache Kafka 
  • CI/CD: Jenkins/Cloud Formation/GitLab/Grafana

Specific Skills

  • Solid, well-designed real-time streaming/batch processing, ETL systems.
  • Monitors and conducts data-pipeline / machine learning pipeline development requests through lifecycle management and ensures that the technical solution meets.
  • Diagnosing and troubleshooting Redshift and specific clusters management.
  • Development of micro-services and endpoints based on enterprise integration patterns. Knowledge over garbage collection (JVM) tuning technologies for various servers.
  • Developed multi-threading processing consuming work and managed transactions.

Certifications and Training

  • Sun Certified Web Component Developer Java 2 Platform, Enterprise Edition. 
  • Sun Certified Programmer for the Java 2 Platform. 
  • Red Hat Enterprise Directory Services and Authentication Attended. 
  • Project Management Professional (PMP)® Attended. 
  • AWS Certified Solutions Architect Attended. 
  • Big Data on AWS Attended. 
  • Azure Data Engineer AssociateAttended. 

Education


National Taiwan University, 2010 – 2011

EMBA Programs, Business Administration, Accounting, Finance and International Business.


Chinese Culture University Master of Information Management, 2002 – 2005

Computer Science, Data Mining, Expert Systems and Knowledge Base as major concentration.


Chinese Culture University, Bachelor Degree of Science in Journalism, 1998 - 2002

Resume
Profile
Ahzwaym2ourqm1t0glsc

Chin-Hung (Wilson) Liu

I am a lead architect responsible for designing and implementing a large-scale data pipeline for Lomotif, Paktor x 17LIVE, utilizing GCP/AWS/Python/Scala, in collaboration with data science and machine learning teams in Singapore and TW HQ, as well as with the Hadoop ecosystem (HDFS/HBase/Kafka) at JSpectrum in Hong Kong and Sydney. 


With over 15 years of experience in designing and developing Java/Scala/Python-based applications for daily operations, I bring:

● At least 8 years of experience in data analysis, pipeline design and development, and tool building as a team member. 

● In-depth knowledge of the Spark and Hadoop ecosystems, including Hadoop, HDFS, HBase, and more. 
● Strong skills in designing and developing Big Data services on AWS and GCP. 
 Extensive expertise in developing generic distributed systems, streaming processing, machine learning pipelines, and continuously improving ML models.


Senior Data Engineer at Paktor x 17LIVE| AWS Big Data Specialist | Data Architect 
Singapore / Hong Kong / Taiwan

[email protected]

https://www.linkedin.com/in/chin-hung-wilson-liu-29392957

Nanxing Rd., Xizhi Dist., New Taipei City, Taiwan (R.O.C.)

Experience 

Senior Data Engineer (DataOps / AI) / Lomotif Private Limited / Singapore

Jul. 2021 - Present.

Description and Responsibilities: Lomotif is a leading short video social platform in South America and India that holds PBs of videos in buckets and serves millions of users. DataOps and AI team take part in many challenging projects e.g. Ncanto, XROAD services, Ray Serve, and scalable model serving frameworks for support the recommendation and moderation pipeline, also integrated Universal Music Group music (UMG) and full catalog feed with 7digital. DataOps team handling 10TB+ data for day-to-day operation, moderating model training results, and designing SLIs/SLOs for EKS Clusters. More responsibilities/details as below.

  • Optimize music (UMG) pipeline with queries and memories for Elasticsearch and PostgreSQL, the pipeline saving 90% execution time from 10+ hours to 40 mins.
  • Migrate service from apache spark, AWS Data Lake Formation to AWS MWAA, EKS airflow environment. 
  • Design, and deliver distributed system for Ray Serve with AI team.
  • Design, and implement a modern machine learning pipeline for a recommendation, and moderation pipe.
  • Design SLA and implement alert log reporting system (history logs) for moderation pipeline, histories logs handling application, server levels information for further investigation.
  • Supporting other departments to gather data in the appropriate platforms.
Tech Stacks : 
  • Streaming, Snowpipe/Kinesis/Firehose
  • Monitoring, CloudWatch/Grafana
  • Orchestration, AWS MWAA / Airflow
  • Kubernetes, EKS
  • Message, SQS/SNS
  • MLflow, Ray Serve/EMR/Lambda
  • Storage, Snowflake / RDS (PostgreSQL) / ElastiCache (Redis) / Elastic search
  • Bucket, AWS S3
Reports to : VP of Data Engineering


Senior Data Engineer / Handshakes by DC Frontiers / Singapore

Oct. 2020 - May. 2021.

Description and Responsibilities: The main responsibility of the engineering team is launching ScoutAsia by Nikkei and The Financial Times Nikkei content to SGX TitanOTC's platform. Titan Users will be able to access Nikkei news articles from across 11 categories, including equities, stocks, indices, foreign exchange, and iron ore. DPP (Data team) is processing hundreds of GB articles/market/financial/relationships and organization for day-to-day operation on Azure and on-premise environments. More responsibilities/details as below.

  • Identifying, digging bottlenecks, and problem-solving especially optimizing the performance of SQL Server, NoSQL (Azure Cosmos), resource units, and message queues, reducing/saving almost 50-75% of resources. 
  • Identifying and solving the problems between machine learning/backend/frontend/DDP side and giving the advance logical/physical design of a system. Displayed technical expertise in optimizing the databases and improving the data pipeline to achieve the objective.
  • Bring in industry standards to data management to deliver data at the end objective. 
  • Building, and recruiting the new data engineering staff for the next-generation, enterprise data pipeline.
Tech Stacks : 
  • Storage, Azure Cosmos DB/Gremlin/SQL Server/MYSQL/Redis
  • Storage (Bucket), Azure Blob/AWS S3
  • Streaming/Batch/transform, Spark/Scala (90% codebase coverage)
  • Message, Azure service bus, queue storage
  • Search, Elastic search
  • Algorithm, graph/concordance
Reports to : CTO

Senior Data Engineer / 17LIVE Inc. / Taiwan, Taipei.

Feb. 2020 - Jul. 2020

Description and Responsibilities: The big challenge of 17 Media data teams is facing fast-growing data volume (processing 5-10x TB level daily), complex cooperation with stakeholders, the cost optimization of the pipeline, and refactoring big latency systems .etc. As a senior data member, I’m making a data dictionary and trying to explain/design how the whole pipeline works with each component, especially how to solve those bottlenecks. More responsibilities/details as below. 

  • Leading, and architect large-scale data pipeline for supporting scientists and shareholders. 
  • Optimize, ensure quality and play a tough role in data lake projects/data pipes. infrastructure. 
  • Define, and design stage, dimension, production, and fact tables for data warehouse (BigQuery). 
  • Coordinate with client / QA / backend team for QC lists / MongoDB change stream workers. 
  • Architect workflows with those components, Dataflow, Cloud Functions, and GCS. 
  • Recruiting (Jr./Sr.) data engineering members, setting goals, and sprint management.

Tech Stacks : 

  • Storage, GCS/BigQuery/Firebase/MongoDB/MYSQL 
  • Realtime process and Message system, DataFlow (Apache Beam) / BigQuery Streaming / MongoDB Change Stream / Fluentd / Firebase / Pub/Sub 
  • ETL/ELT workflow, Digdag / Embulk 
  • Data warehouse, Visualization, BigQuery / Superset / Chartio / Data Studio 
  • Continuous deployment, docker, CricleCI 

Reports to : Data Head

Data Engineer / Paktor Pte. Ltd. / Singapore 

Sep. 2015 - Dec. 2019.

Description and Responsibilities : This is another 0 to 1 story. As an early data member, we need to figure out the data driven policy, strategies, engineering requirements from the company. In Paktor, data / backend sides are 100% on AWS, therefore the whole data ingestion, automation and data warehouse etc. are relying on those components. We are processing 50-100x GB realtime / batch jobs and the other data sources (RDBMS, APIs) for ETL/ELT on S3, Redshift, the data platform helps our marketing / HQ scientists team getting data into insights and making good decisions. More responsibilities / details as below. 

  • Supports Big Data and batch, real-time analytical solutions leveraging transformational technologies. 
  • Optimize data pipeline on AWS using Kinesis-Firehose/Lambda/Kinesis Analytics/Data Pipeline, and optimize, resizing Redshift clusters and related scripts. 
  • Translates complex analytics requirements into detailed architecture, design, and high performing software such as machine-learning, CI/CD of recommendation pipeline. 
  • Collaborate with client / backend side developers to formulate innovative solutions to experiment and implement related algorithms. 

Tech Stacks : 

  • Storage, S3/Redshift/Aurora - Realtime process and Message system, Kinesis Firehose / SNS 
  • Data warehouse, Visualization, Redshift / Klipfolio / Metabase 
  • ETL/ELT workflow, Lambda / SNS / Batch / Python 
  • Recommendation, ML, DynamoDB / EMR / Spark / Sagemaker 
  • Metadata management, Athena (presto) / Glue / Redshift Spectrum 
  • Continuous deployment, Elasticbeanstalk / Cloudformation 
  • Operations, PagerDuty / Zapier / Cloud Watch 

Reports to : CTO, Data Head

System Analyst (Data Backend Engineer) / JSpectrum Software Limited / Hong Kong 

 Jan. 2014 - Aug 2015.

Description and Responsibilities : JSPectrum is a leading passive location-based service company in Hong Kong which holds many interesting products such as NetProbe, NetWhere, NetAd etc. In Optus (The main project in Sydney), the main responsibility of system analyst is designing / implementing data ingestion (real-time processing) / load and management data with major components of the Hadoop ecosystem. We meet the challenge to process 15,000 TPS, 60,000 inserts per second and 300 GB daily storages, therefore we are trying to optimize those components with Kafka consumers, HDFS storages and re-designing keys / columns of HBase to fulfill the requirement and deployed NetAd, whole in-house solutions on Optus. More responsibilities / details as below. 

  • Design, implement and optimize Hadoop ecosystems, MLP, real-time processing on Optus in house servers with our main product NetAd, NetWhere. We are focusing on HBase schema, HDFS, balancing Kafka consumers and more issues on data ingestion. 
  • Collaborate with shareholders and LBS team members for further requirements with HeapMap. 

Tech Stacks : 

  • Storage, HDFS / HBase
  • Realtime process and Message system, Kafka streaming, Log systems 
  • Data warehouse, Visualization, HBase / NetWhere (Dashboard) 
  • Hadoop ecosystem, Hadoop / HDFS / Zookeeper / Spark / Hive
  • ETL/ELT workflow, Spark / Hive / Scala / Java

Reports to : CTO


Senior Software Engineer / Toro Development Ltd. / Taiwan, Taipei. 

Oct. 2012 - Dec. 2013.

Description and Responsibilities : TORO is a technology business that provides a mobile platform and its associated systems, services and rules to help Brands (with initial focus on Sports Teams, Smart Cities and Streaming apps) become super-apps to generate additional revenue with minimum effort. Responsibilities as below. 

  • Design, implement and test back-office modules for NFC wallet platform, Trusted Service Managers (TSM) and distributed NFC services to end­ users / stakeholders. 
  • Implement RESTful services and deliver endpoints for wallet managers and collaborating with front­end, backend teams for further business requirements. 

Tech Stacks: MYSQL / Spring / Hibernate / XML / Apache Camel / Java / POJO .etc. 

Reports to : Head of Server Solutions


Software Engineer / Digital River / Taiwan, Taipei. 

Oct. 2011 - Sep. 2012.

Description and Responsibilities : Digital river proactive partners, providing API-based Payments & Risk, Order Management and Commerce services to leading enterprise brands. The big challenge to DR is integrating with the current module and working well with a huge code base (over 2+ millions lines), the strict process including analysis requirements, design, implement, test and code review. More responsibilities as below. 

  • Design, implement custom bundle project, bundle customized by shoppers to pick products of groups and get special discounts, the main stakeholders /users from Logitech, Microsoft. 
  • Analysis, collect business requirements, identify use cases and collaborate with business analysts and deliver related diagrams, documents. 

Tech Stacks: Oracle / Tomcat / Spring / Struts / JDO / XML / JUnit / Java / J2EE .etc. 

Reports to : Technical Development Manager


Technical Supervisor / Stark Technology Inc. / Taiwan, Taipei. 

Oct. 2008 - Sep. 2011.

Description and Responsibilities : Stark Technology (STI) is the largest domestic system integrator in Taiwan. We plan and deliver complete ICT solutions for a wide spectrum of industries through representing and reselling the world's leading products. This is made possible by using the most advanced technology, and providing the best professional services. More responsibilities / projects as below. 

  • Lead, coach JR. programmers for the development process of enterprise modules, and design Fatwire CMS components as Template/Page/Cache .etc. 
  • Design, analyze DMDB systems, and implement functions to meet the requirements of queries / storage. Optimize performance for online servers and GC tuning. 

Tech Stacks : Oracle / Sybase / Tomcat / Weblogic / Spring / Struts / Hibernate / Fatwire / Java / J2EE .etc. 

Reports to : Technical Manager


Relevant Skills and Qualifications


Big Data Tech Stacks

  • AWS Services, EC2/S3/Lambda/EMR/CloudWatch/SNS/SQS/Elastic Beanstalk 
  • AWS Big Data Solutions, Kinesis/Firehose/Athena/Redshift/Dynamodb 
  • GCP Big Data Solutions, BigQuery/PubSub/Dataflow/Cloud Functions 
  • Hadoop ecosystem, Hadoop/HDFS/Zookeeper/Hbase/Hive 
  • Spark Streaming/Apache Kafka 
  • CI/CD: Jenkins/Cloud Formation/GitLab/Grafana

Specific Skills

  • Solid, well-designed real-time streaming/batch processing, ETL systems.
  • Monitors and conducts data-pipeline / machine learning pipeline development requests through lifecycle management and ensures that the technical solution meets.
  • Diagnosing and troubleshooting Redshift and specific clusters management.
  • Development of micro-services and endpoints based on enterprise integration patterns. Knowledge over garbage collection (JVM) tuning technologies for various servers.
  • Developed multi-threading processing consuming work and managed transactions.

Certifications and Training

  • Sun Certified Web Component Developer Java 2 Platform, Enterprise Edition. 
  • Sun Certified Programmer for the Java 2 Platform. 
  • Red Hat Enterprise Directory Services and Authentication Attended. 
  • Project Management Professional (PMP)® Attended. 
  • AWS Certified Solutions Architect Attended. 
  • Big Data on AWS Attended. 
  • Azure Data Engineer AssociateAttended. 

Education


National Taiwan University, 2010 – 2011

EMBA Programs, Business Administration, Accounting, Finance and International Business.


Chinese Culture University Master of Information Management, 2002 – 2005

Computer Science, Data Mining, Expert Systems and Knowledge Base as major concentration.


Chinese Culture University, Bachelor Degree of Science in Journalism, 1998 - 2002