Andrew Mains is a Staff Software Engineer based in Berkeley with 13 years of experience building high-throughput infrastructure and distributed systems. He specializes in distributed databases and data pipelines, and at Uber has driven production-grade services that scale for large metrics workloads. An active contributor to the widely used M3 time-series platform, he implemented query safeguards and testable configuration around Prometheus-compatible read paths, showing a pragmatic focus on operational reliability. He brings a blend of backend engineering and DevOps sensibility, turning complex distributed problems into maintainable, tested solutions.
13 years of coding experience
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of California, Berkeley
Contributions:179 reviews, 113 commits, 149 PRs in 4 years 6 months
Contributions summary:Andrew implemented a data point limit to prevent excessive queries, mirroring the approach used in Prometheus. They added configuration options and tests to validate the implementation. These changes involved modifications to the Prometheus read handler and related test files. The user also contributed to the build process by fixing typos and configuring ports for server tests.
Contributions:9 pushes, 1 branch, 3 tags in 10 years 8 months
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