Christopher Wu is a founding engineer in the San Francisco Bay Area with 11 years of experience building data-driven backend systems and scalable pipelines. He helped ship data products at Salesforce Einstein and now drives core engineering at Faros, combining startup grit with enterprise-grade analytics experience. His open-source contributions to Airbyte show practical expertise in connector development, stream modeling, error handling, and caching for improved ETL performance. Early work spans Hadoop/EMR optimizations and Neo4j graph processing, reflecting a strong background in large-scale data processing and systems reliability. Comfortable across ops, backend, and analytics domains, he repeatedly improves execution speed and robustness in production workloads. Pragmatic and hands-on, he brings both deep technical ownership and a track record of turning complex integration challenges into maintainable solutions.
11 years of coding experience
3 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Role in this project:
Back-end Developer
Contributions:20 reviews, 10 commits, 15 PRs in 1 year
Contributions summary:Christopher primarily contributed to the back-end aspects of the Airbyte platform. Their work focused on enhancing and expanding the functionality of various data connectors, including Jira and GitHub. This involved modifying stream definitions, adding new streams, and improving error handling to accommodate diverse use cases and ensure data integrity. Furthermore, the user implemented caching mechanisms for improved performance.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.