👨💻 About Me
- A leading Expert in Data Engineering with years of hands-on experience designing scalable, high-performance data systems.
- Mastering cloud-native architectures on AWS and GCP to drive efficiency and innovation.
- Specializing in data modeling, pipeline automation, and efficient workflows optimizations.
⚙️ Tech Stack & Tools
My daily toolkit focuses on building reliable, scalable, and maintainable data systems.
- Data Engineering: dbt, Airflow, Prefect, Hadoop, Spark, Flink, Airbyte
- Programming Languages: Python, Java, SQL, Bash
- Messaging & Streaming: Kafka, RabbitMQ
- DevOps & Cloud: Docker, Kubernetes, Terraform, AWS, GCP
- Databases & Analytics: PostgreSQL, BigQuery
📈 GitHub Stats
✨ Fun Facts
- 🤹 Data engineer by profession, street performer and juggler by passion.
- 🚴♂️ Cycling around Taiwan on U-Bike. Slow, simple, unforgettable.
- 💪 Exercise or die. The gym keeps me alive.
- 🌏 Make data great again.
📜 Experience
- Engineering Lead - European Data Company
- Instructor & Curriculum Consultant - WiEDU TibaMe / III
- Designed and taught courses on data engineering, dbt, and Prefect for professionals transitioning into data careers.
- Visit my TibaMe page
- Data Engineering & Big Data Solutions
- Built and optimized distributed data systems across various industries.
- Key Contributions:
- Designed data lakehouse and implemented data governance at ViewSonic.
- Designed data models and restructured data architecture at Hengstyle.
- Refactored and optimized distributed ETL systems, implementing Spark at Gamania.
- Developed big data solutions (Hadoop) for customers at LnData.
- Automated pipeline monitoring at Taipei Fubon Bank.
- Education: Mathematics - National Central University
Google Cloud Certified - Professional Data Engineer
Google Cloud Certified - Professional Cloud Architect