Summary
Liquan Yang is a seasoned Data Engineer with 11 years of experience building high-performance data platforms and pipelines across cloud providers (Google Cloud, AWS, Azure) for global teams and customers. He has a track record of turning slow, costly processes into efficient systems—cutting ETL runtimes by up to 98%, shrinking query data from GBs to MBs, and eliminating manual FDA submissions with automated tooling. Comfortable leading teams and driving standards, he introduced pipeline standardization with Dagster, created an in-house asset check library, and mentors engineers through hands-on knowledge transfers. His background spans full-stack engineering, ML-driven image processing, and production analytics for live services, reflecting a pragmatic blend of data science and software craftsmanship. Based in Jacksonville, FL, Liquan pairs statistical training from the University of Florida with a developer’s curiosity—having shipped both customer-facing apps and open-source contributions to popular projects.
11 years of coding experience
14 years of employment as a software developer
Bachelor of Science (B.S.), Statistics, Bachelor of Science (B.S.), Statistics at University of Florida
English, Chinese, Japanese