Sam Sampey is a software engineer in San Francisco with 11 years of hands-on experience building reliable back-end systems and developer-facing tooling. Currently at Google after an internship there, he brings practical production experience from internships at Amazon and the Chicago Board of Trade where he shipped automated testing infrastructure, UI improvements, and an algorithmic trading system. He contributes to Apache Beam—improving Java SDK error handling, deduplicating core logic, and enhancing timers—demonstrating a focus on robustness in distributed data processing. A Carnegie Mellon CS graduate, Sam blends systems-level thinking with pragmatic engineering: reducing test-generation latency by over 50% at Amazon and delivering measurable trading results in simulation. He excels at turning messy edge cases into clearer, maintainable implementations and enjoys tackling deceptively small changes that have outsized impact on reliability.
11 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Bartlett High School
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Carnegie Mellon University
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Contributions:241 reviews, 139 commits, 137 PRs in 4 years
Contributions summary:Sam primarily worked on improving the error handling and messaging within the Apache Beam Java SDK, specifically within the `Count` transform. They also made changes to the core class `CombineFnBase.java` to improve the default settings. In addition, the user removed some duplicate code and contributed to the user timer implementations.
Contributions:627 pushes, 113 branches in 5 years 8 months
beamapachebig-datajavaapache-beam
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