Robert Burke is a Senior Software Engineer based in Seattle with 8+ years building high-performance, distributed data systems at Google, currently focused on reducing BigQuery query latency. A long-time Apache Beam contributor and PMC member, he has led backend and DevOps improvements for Beam’s Go SDK and Dataflow monitoring—authored the Beam Prism Local Runner and shipped region-aware Dataflow integrations. Comfortable across systems and infrastructure, he brings deep Go expertise and practical experience spanning cloud data processing, ad tech, and game-engine tooling. Outside work he’s a self-described gopher and D&D enthusiast, a small hint at the curiosity and collaborative mindset he brings to open-source and team projects.
8 years of coding experience
9 years of employment as a software developer
Computer Science, Computer Science at University of Waterloo
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:4 releases, 1716 reviews, 437 commits in 5 years 7 months
Contributions summary:Robert's commits focused on enhancing the Dataflow monitoring page by integrating region-aware paths for Google Cloud Dataflow Front-End URLs and incorporating support for user-defined metrics. Additionally, the user contributed to code quality and maintenance through the implementation of a total ordering for function parameters, ensuring correct behavior for code execution. Finally, the user worked on the Go SDK, implementing a number of improvements to code base with fixes to timer handling and various other infrastructural updates..
Contributions:134 commits, 2 PRs, 160 pushes in 5 years 1 month
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