Summary
David Leung is a Senior Staff Software Engineer in San Francisco with 13 years building large-scale data and ads infrastructure across startups and LinkedIn. He leads privacy-centric measurement and attribution work, blending privacy-enhancing technologies with realtime ETL, Spark pipelines, and OLAP systems to deliver defensible ad measurement at scale. Previously he architected petabyte-scale data migrations, realtime adserving monitors, and first-party tracking systems, demonstrating fluency across backend services, distributed data stores, and analytics. Trained as a structural engineer at UC Berkeley, he brings a systems-thinking approach to software design and a knack for translating regulatory and legal constraints into secure, auditable technical solutions. Notably, he has driven GDPR-compliant migrations and novel cookieless tracking experiments that balance measurement needs with user privacy.
13 years of coding experience
12 years of employment as a software developer
Master's degree Structural Engineering, Master's degree Structural Engineering at University of California, Berkeley