Data Engineer, TVBS Media Inc.¶
Organization Diagram
Summary
- Architected a cost-effective, scalable ETL / ELT Modern Data Stack (dbt, BigQuery, Airflow, Airbyte, Looker Studio, etc.) and introduced a streamlined DataOps workflow, processing 20M+ events daily at TB+ scale (300+ data models, 600+ daily quality checks), cutting cloud costs by 63%.
- Directed the organization-wide adoption of Data Mesh principles to strengthen data governance and improve data availability, empowering 7 domain teams through self-service reporting across 30+ data products, and achieving a previously unattainable holistic brand analysis through the expansion of data sources from 4 to 9+.
- Led IaC implementation with Terraform for over 500 cross-cloud data assets (AWS, GCP, dbt Cloud, etc.) and conducted internal DevOps workshops, slashing provisioning lead time from days to hours by integrating CI/CD pipelines with GitHub Actions and improving team IaC adoption by 80% within 6 months.
- Led the migration to GA4 and BigQuery to build a data lakehouse platform while maintaining a legacy event tracking pipeline (AWS Kinesis, MongoDB, PostgreSQL), saving $2M by retiring NoSQL database and ensuring real-time analytics for both anonymous and logged-in users.
- Championed an organization-wide experimentation mindset, engaged 60+ colleagues, and orchestrated 20+ A/B tests via Google Optimize and Firebase within 6 months, boosting mobile ad revenue by 27% and web pageviews by 6%.
- Built a cross-account data lake architecture using AWS Glue, Athena, S3, and DMS to power supplier analytics dashboards in a fast-paced e-commerce domain.