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6-10 years
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Avatar of Krish Chatterjee.
Avatar of Krish Chatterjee.
Machine Learning Engineer @Tata Consultancy Services
2021 ~ Present
Software Engineer, Machine Learning
More than one year
Profile Summary: Senior Software Engineer with 12+ years of experience in application design, development, testing and deployment. Currently working on Data Science and Machine Learning Projects to develop modern day smart systems that will help in various steps of Supply Chain Management. Technical Skills: Python SQL PL/SQL JAVA AI / Machine Learning Data Science Data Analysis Statistical Analysis Predictive Analysis Hypothesis Data Visualization Pandas / NumPy Exploratory Data Analysis Scikit Learn / PySpark Seaborn / Matplotlib Domain Skills: Supply Chain Management Manufacturing Inventory Management Shipping Warehouse Management Pricing Account Receivables Education : Some Projects: Inventory Management
Python
Oracle ERP
Oracle SQL
Employed
Full-time / Interested in working remotely
10-15 years
The University of Texas at Austin
Post Graduate Program in Artificial Intelligence and Machine Learning
Avatar of the user.
Avatar of the user.
Microsoft Software Asset Management @Beyondsoft博彥科技有限公司
2020 ~ 2020
BD
Within one month
powerpoint
google drive
Word
Employed
Full-time / Interested in working remotely
6-10 years
康寧⼤學_台北校區
應⽤外語系(英美語⽂相關)
Avatar of the user.
Avatar of the user.
Principal Engineer @Coretronic Corporation, 中強光電
2020 ~ 2022
Machine Learning Engineer
Within one month
Python
Linux
C++
Employed
Full-time / Interested in working remotely
6-10 years
國立台灣大學
經濟學
Avatar of 江易倫.
Avatar of 江易倫.
Past
Career transition @Career Break
2024 ~ 2024
NLP Engineer / Data Scientist / Machine Learning Engineer
Within one month
配生成式AI協助開發 - 建構專業知識的聊天機器人供用戶查詢專業知識 台中市, 台灣salan40319salan40319@gmail.com https://www.linkedin.com/in/%E6%98%93%E5%80%AB-%E6%B1%9F/ 工作經歷 三月四月 2024 Taipei, Taiwan Career transition Career Break 十一月三月 2024 Taipei, Taiwan 資料分析師 帝緯 聊天機器人: - 生成式AI
Python
SQL
NLP
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chengchi University
資訊科學系
Avatar of 賴俊杉.
Avatar of 賴俊杉.
Data Project Manager @永慶房產集團(永慶房屋)
2024 ~ Present
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
支援。 Kaohsiung City, Taiwan Email: e@gmail.com 工作經歷 數據應用管理師 燁輝企業股份有限公司 八月八月 2023 Kaohsiung City , Taiwan - 針對公司生產目標,開發AI/ML模型,提供營運及生產改善建議。 - 協助營運單位建制營運指標儀表板,推廣公司的數據驅動的文化。 - 協助科技趨勢研
Python
Data Science
Data Analysis
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立高雄科技大學(原高雄應用科技大學)
資訊管理所
Avatar of the user.
Avatar of the user.
Team Lead @工業技術研究院
2020 ~ Present
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
C++
Python
Deep Learning
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Chung Cheng University
資訊工程學所
Avatar of Chin-Hung (Wilson) Liu.
Offline
Avatar of Chin-Hung (Wilson) Liu.
Offline
Principal Engineer, Data Engineering @KKCompany
2023 ~ Present
Backend Engineer, Data Engineer, MLOps Engineer
Within one month
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 willmaster.liu@gmail.com https://www.linkedin.com/in/chin-hung-wilson-liuNanxing Rd., Xizhi Dist., New Taipei City, Taiwan (R.O.C.) Experience Senior Data Engineer (DataOps / AI) / Lomotif Private Limited / Singapore JulPresent. Description and Responsibilities: Lomotif is a
Big Data
Data Engineering
ETL
Employed
Open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
EMBA Programs, Business Administration, Accounting, Finance and International Business.
Avatar of 王豪逸.
Avatar of 王豪逸.
Software Developer @ZeroLogix
2022 ~ Present
前端工程師 Front-End Developer
Within one month
王豪逸 中山大學資訊管理學系 研究所 ms@gmail.com https://github.com/strongball 技能 程式語言 JavaScript TypeScript Python C Java C# 開發工具 Git Docker Linux(ubuntu) Jest 前端開發 Vue, Nuxtjs React , Nextjs Graphql Restful WebSocket CSS-in-JS, styled-components Electron 後端開發 Graphql ORM(Typeorm, Prisma) MySQL, PostgreSQL 資料分析 / 機器學習 Pytorch TensorFlow Keras Scikit-learn 工作經歷 科林儀器
Python
React.js
Next.js
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立中山大學-資管系
資訊管理
Avatar of 許碩文.
Avatar of 許碩文.
Senior Machine Learning Engineer @CoolSo
2020 ~ Present
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
許碩文 / Shuo-Wen (Peter) Hsu Senior Machine Learning Engineer at CoolSo / Berkeley SkyDeck Batch15 Alumni - Machine learning expert with 5+ years' experience - Engaged in different fast-paced environments with various leadership roles including CTO - Former senior chip/system designer with 5+ years' experience - Energetic engineer pursuing adventures in AI/ML career Nangang District, Taipei City, Taiwan 115 Tel:EMail: swshukh@gmail.com Work Experience Senior Machine Learning Engineer • CoolSo Technology CoolSo is a startup team builds gesture recognition through machine learning technologies uses only commercial grade sensors could be found
數位IC設計
python
Verification
Full-time / Interested in working remotely
4-6 years
University of California, Berkeley
Business/Commerce, General
Avatar of Ta-Chun Lin (TC).
Avatar of Ta-Chun Lin (TC).
全端工程師 (電腦視覺及軟體) @Spingence (偲倢科技股份有限公司)
2020 ~ 2023
AI工程師、ML工程師、資料科學家、軟體工程師
Within one month
量下,成功地降低50%人工漏檢率。 • 參與開發物品分類、物件檢測、語意分割模型,及標記格式轉換。 • 連結: https://www.behance.net/gallery//Industrial-40-AI-Trainer/ 2020年10月 – 2023年1月: 開發階層式圖像存儲平台 • 開發階層式存儲圖像資訊,並給予使用者 / 超級使用者/
Software Development
Web Development
Machine Learning
Employed
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
澳洲昆士蘭科技大學 (QUT)
電腦科學 (碩士)

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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