Kyle Weaver
Software Engineer at Meta
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKyle Weaver is a software engineer with a decade of experience building large-scale backend systems, now based in San Francisco and currently working at Meta after six years at Google. He specializes in data processing and distributed systems, contributing substantive Java refactors and runner enhancements to the widely used Apache Beam project, including work on BigQuery integration and direct runner data plane logic. Comfortable navigating complex codebases, Kyle has a track record of moving shareable components into cleaner architectures and improving core execution paths for Flink and Spark runners. His background combines strong academic foundations from Indiana University Bloomington with hands-on production experience at two major tech companies. Colleagues rely on him for pragmatic improvements that reduce technical debt while enabling reliable streaming and batch workflows. He brings a quiet focus on maintainability and cross-team collaboration that often surfaces as safer, more reusable infrastructure rather than flashy features.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Indiana University Bloomington
Stackoverflow
414reputation
16kreached
17answers
0questions
Github Skills (15)
javas10
apache-beam10
java10
apache-flink9
flink-sql9
spark9
bigquery9
data-engineering8
kubernetes6
apache-spark6
google-cloud-dataflow6
google-cloud-platform6
dataflow6
pipeline6
python6
Programming languages (12)
Github contributions (5)
apache/beam
Feb 2019 - May 2022
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 795 reviews, 942 commits in 3 years 3 months
Contributions summary:Kyle primarily contributed to improvements and refactoring of Java-based components. Their work included migrating Python examples to use BigQuery's "WriteToBigQuery" and incorporating enhancements to Flink and Spark runners' core logic. The user also worked on restructuring codebase elements like moving shareable code to the JobServerDriver and incorporating changes for better functionality. Furthermore, they worked on resolving and implementing the missing part for code of the data plane in the direct runner.
golangpythonstreaming-databeambatch
ibzib/beam
Feb 2019 - Apr 2023
Apache Beam
Contributions:775 pushes, 455 branches, 2 comments in 4 years 2 months
beamapachebig-datajavaapache-beam
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