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4-6 năm
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Avatar of Aken.
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Past
Java Senior Backend Engineer @Alliance 聯訊網路
2021 ~ 2024
Java Senior Backend Engineer
Trong vòng một tháng
Aken Java Senior Backend Engineer Changhua County, [email protected] I am a person who takes responsibility and works efficiently. Friendly and sociable, with excellent interpersonal skills. When working independently, I maintain high standards for progress and product quality. In teamwork settings, I excel at communicating effectively and problem-solving with colleagues in business-related collaborations. I am proactive and patient in providing assistance to the team, ensuring the completion of mission objectives. Establishing effective channels of cooperation and communication is my consistent approach. I look forward to continuing to contribute my
Java
JavaScript
JQuery
Thất nghiệp
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
10-15 năm
Asia University (TW)
資訊與設計學系
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資深襄理/Software Developer @遠東國際商業銀行
2022 ~ Hiện tại
Software Engineer / Backend Engineer
Trong vòng một tháng
MSSQL
Redis
Vue.js
Đã có việc làm
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
龍華科技大學
電子工程
Avatar of Johnny Tsai.
Avatar of Johnny Tsai.
工程師 @富士康工業互聯網股份有限公司
2022 ~ Hiện tại
SRE / DevOp engineer / Backend engineer
Trong vòng một tháng
蔡秉嘉 Johnny Tsai 我是一位具有解決問題能力有SRE經驗的後端工程師,擅長於多任務處理並迅速適應新技術。在壓力之下,有效地提升系統效能並確保運行穩定,同時對於創新有著濃厚的熱情和不斷學習的動力。 Backend Engineer/SRE/DevOps 台灣 新北市 johnnyside0908@gmail.
Java
Spring Boot
Linux
Đã có việc làm
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
國立勤益科技大學 National Chin Yi University of Technology
資訊工程
Avatar of Aron Yu.
Avatar of Aron Yu.
Past
server engineer @曉數碼
backend engineer
Trong vòng một tháng
接受意見,並積極迎接新的挑戰,持續學習新技能,對區塊鏈領域充滿熱情,目前正專注於區塊鏈 dapp 與智能合約(Solidity)相關開發。 backend engineer Taipei,TW [email protected] 工作經歷 Working Experience Backend developer Locent Technology , Dubai, 2022//8 負責數據後台系統的資料庫設計,系統設計,以及相關後端程式
JavaScript
Ruby on Rails
Git
Thất nghiệp
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
Avatar of Evan Wu.
Avatar of Evan Wu.
Back End Devel0per @英仕國際
2020 ~ Hiện tại
Data Analyst 數據分析師 / Data Scientist 資料科學家
Trong vòng một tháng
Evan Wu Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Ut wisi enim ad minim veniam, quis nostrud. Taiwan 工作經歷 Back End Devel0per • 英仕國際 三月Present Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Java Software Developer • iiNumbers, Inc. / 木刻思股份有限公司 五月九月 2020 Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed
JAVA
Golang
SQL
Đã có việc làm
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
10-15 năm
National Chung Hsing University
Computer Science and Engineering
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資深軟體工程師 @畢竟科技股份有限公司
2022 ~ Hiện tại
Software Manager / Senior Backend Engineer
Trong vòng một tháng
Golang Backend
Python
ElasticSearch
Đã có việc làm
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
國立暨南大學
財務金融學系
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Avatar of 蔡佳儒.
Past
後端工程師 @春樹科技股份有限公司
2022 ~ 2024
資深後端工程師
Trong vòng một tháng
Bot串接 API整合測試 學歷 世新大學, 學士學位, 資訊管理, 2010 ~ 2014 專題:環境光影像處理修圖APP 工作經歷 春樹科技股份有限公司, 後端工程師, Aug 2022 ~ Feb 2024 主要負責產品APP後端開發、維運 資料庫規劃與建立 後端API開發 CI/CD建置 功能架構規劃 APP內購流
python3
Golang
PHP
Thất nghiệp
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
世新大學
資訊管理
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Avatar of the user.
資深主任工程師 @長青資訊
2017 ~ Hiện tại
資深工程師
Trong vòng một tháng
golang
MySQL
Docker
Đã có việc làm
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
勤益科技大學
軟體工程
Avatar of 黃季承.
Avatar of 黃季承.
Past
後端工程師 & DevOps @創業家兄弟Kuobrothers Corp.
2022 ~ 2024
Senior Backend Engineer | DevOps | SRE
Trong vòng một tháng
黃季承 Backend Developer | DevOps [email protected]我從事 5 年的電商後端開發與 1 年的 DevOps 維運,並參與超過 4 年的 Scrum 敏捷開發。後端主要負責產品功能研發、後台系統開發與既有服務重構。曾參與生活市集即享券開發,負責與合作夥伴釐清事項、跟 PM 討論整合方式、設
AWS
CI/CD Drone
Cloudflare
Thất nghiệp
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Taipei University of Technology
資工系
Avatar of 謝明翰.
Avatar of 謝明翰.
Past
後端工程師 @Canner (易開科技)
2023 ~ 2024
Senior Backend Engineer
Trong vòng một tháng
謝明翰 資深後端工程師 有 5 年專門從事後端開發的經驗。 從小到大,我一直對資訊工程領域非常有興趣,在日常生活中,我一直透過寫程式來讓生活變得更便利。 所以我做了很多 side project ,並從中學習了很多技能。 Taiwan 技能 程式語言 Node.js Golang PHP Python 框架
Node.js / Express.js
Git-flow
Golang
Thất nghiệp
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
東海大學 Tunghai University
資訊工程

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Trong vòng một tháng
Senior Data Engineer at Paktor x M17 Entertainment Group | AWS x GCP x Azure Big Data Specialist | Data Architect
Logo of KKCompany.
KKCompany
2023 ~ Hiện tại
Taiwan
Professional Background
Tình trạng hiện tại
Đã có việc làm
Tiến trình tìm việc
Bật trạng thái tìm việc
Professions
Data Engineer, Back-end Engineer
Fields of Employment
Phần mềm
Kinh nghiệm làm việc
10-15 năm
Management
I've had experience in managing 1-5 nhân viên
Kỹ năng
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
Ngôn ngữ
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Chuyên nghiệp
Chinese
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Backend Engineer, Data Engineer, MLOps Engineer
Loại hình công việc
Full-time
Địa điểm
Taiwan, 台灣, Singapore, Hong Kong
Làm việc từ xa
Quan tâm đến làm việc từ xa
Freelance
Không.
Học vấn
Trường học
National Taiwan University
Chuyên ngành
EMBA Programs, Business Administration, Accounting, Finance and International Business.
In
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
Hồ sơ của tôi
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