Timothy Chang is a data engineer with 11 years of experience building production data pipelines, identity-matching frameworks, and ML-backed systems at companies including Meta and Amazon. He blends backend engineering, DevOps, and data governance expertise across AWS, Snowflake, Kafka, Airflow and Snowflake-backed architectures to drive cross-product insights and adtech measurement. Comfortable moving between hands-on ETL, platform design, and front-end UX work (he contributed UI features to an open-source cmd+k interface), Timothy has a track record of unifying disparate data sources into actionable analytics. Based in San Jose, he pairs advanced analytics training with practical product delivery, and maintains a public-facing curiosity—publishing tutorials and projects via a YouTube channel and GitHub.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.) Economics, Bachelor of Arts (B.A.) Economics at Northwestern University
Master of Science (M.S.) Management Information Systems and Services, Master of Science (M.S.) Management Information Systems and Services at University of Illinois Chicago-College of Business Administration
Master of Science - MS Analytics, Master of Science - MS Analytics at University of Chicago
fast, portable, and extensible cmd+k interface for your site
Role in this project:
Front-end Developer
Contributions:38 releases, 80 reviews, 303 commits in 1 year 3 months
Contributions summary:Timothy primarily contributed to the implementation of front-end features for a command+k interface, focusing on UI components and user interactions. The commits show the addition of trigger animations, search functionalities, and UI elements. The changes also incorporate the integration of shortcuts, virtualized results, and style customizations for a better user experience.
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