Chung-che Lai
Senior Data Engineer
Taipei, Taiwan
Summary
🤩
Rockstar🎓
Top SchoolChung-che Lai is a Senior Data Engineer with over a decade of hands-on experience designing, deploying, and tuning Hadoop-based big data platforms and cloud-native data pipelines. He combines deep platform expertise (HDFS, HBase, Hive, Impala, Spark, Kafka) with practical API and integration work, including implementing HDFS/HBase/Hive/Impala/Spark/Kafka APIs and securing clusters with Kerberos and Sentry. At Line Taiwan and Trend Micro he modernized ETL workflows with PySpark and Airflow, integrated GitHub Actions CI/CD on Kubernetes, and reduced cloud ETL costs through performance optimization. He also brings systems-level experience in Kubernetes, Proxmox, and observability stacks (Elasticsearch) and has built visualization environments like a three-node Tableau Server for production analytics. Known for pragmatic architecture choices (Lambda-style designs) and a steady focus on maintainability, he pushes open-source adoption in his tooling and workflow. Based in Taipei, he pairs a master’s in computer science with a practical, infrastructure-first approach to scalable data engineering.
10 years of coding experience
8 years of employment as a software developer
碩士, 資訊工程, 碩士, 資訊工程 at 元智大學
Github Skills (42)
kubernetes10
flyte10
spark10
google-cloud-dataproc10
get-started10
python10
data-science10
dataops10
machine-learning10
kubernetes-operator10
llm10
automation10
scale10
mlops10
sdk10
Programming languages (3)
Github contributions (5)
jasonlai1218/flytekit
Oct 2023 - May 2024
Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.
Contributions:214 pushes, 10 branches in 7 months
jasonlai1218/flyte
Oct 2023 - May 2024
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Contributions:30 pushes, 4 branches in 7 months
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