Wooliter Chen

I am a Senior Data Engineer with nearly 5+ years of experience navigating the evolution of data infrastructure—from traditional on-premise relational databases to modern, AI-ready cloud platforms. My career has been defined by a "bridge" mindset: maintaining the stability of legacy systems like SQL Server while architecting the future on Microsoft Fabric, Google Cloud Platform (GCP) and Databricks.

I specialize in designing end-to-end data lifecycles that prioritize automation, governance, and scalability. Whether it’s optimizing complex Spark SQL or building CI/CD-driven pipelines in BigQuery and Databricks, my goal is to reduce the "time to insight" for stakeholders.

Core Expertise & Achievements

• Modern Data Stack Migration: Currently leading initiatives to transition legacy SQL Server environments into Microsoft Fabric, leveraging OneLake, Lakehouses, and Notebook-based engineering to modernize data delivery.

• Cloud Architecture (GCP & Fabric): Deep experience in BigQuery and Spark, focusing on building robust CI/CD pipelines that ensure code quality and deployment reliability in data warehousing.

• Engineering Excellence: Expert in Python, SQL, and dbt. I don't just move data; I engineer pipelines that are self-healing, well-documented, and optimized for cost-performance.

• Continuous Learning: I am currently developing a personal project on GCP to explore the limits of serverless data processing and advanced CI/CD patterns, ensuring my skills remain at the absolute cutting edge of the industry.