Pavel Zorin is a Principal Engineer based in Berlin with 11 years of experience building and automating reliable systems across DevOps, QA automation, and backend engineering. He has led teams and CI/CD efforts at Elastic, SAP, and other companies, often focusing on streamlining build and release pipelines for large open-source projects like Elastic Beats and APM Server. Pavel combines deep hands-on automation (Jenkins, Buildkite, benchmark scheduling, artifact handling) with team leadership and developer productivity improvements. His background ranges from embedded microcontroller work to enterprise-scale performance monitoring, reflecting a pragmatic engineer who thrives on integrating testing, observability, and release automation. An understated strength is his history of bridging developer and QA workflows to reduce friction and ship measurable improvements in build reliability and performance.
11 years of coding experience
11 years of employment as a software developer
Master's degree Information Technology, Master's degree Information Technology at Peter the Great St.Petersburg Polytechnic University
:tropical_fish: Beats - Lightweight shippers for Elasticsearch & Logstash
Role in this project:
DevOps Engineer
Contributions:202 reviews, 115 PRs, 412 pushes in 2 years 8 months
Contributions summary:Pavel's commits primarily involve modifications to the build and CI/CD pipelines for the `elastic/beats` repository. They implemented changes related to packaging, including installing necessary tools, configuring buildkite scripts, and integrating with the DRA (Dynamic Release Automation) system. These changes affected the build process for various Beats projects and included updates to dependencies, testing, and artifact handling. The contributions reflect a focus on automating and streamlining the build and release processes.
Contributions:26 reviews, 11 commits, 24 PRs in 6 months
Contributions summary:Pavel primarily focused on enhancing and maintaining the CI/CD pipeline for the `apm-server` repository. Their work involved creating and modifying Jenkins jobs for benchmarks, adding nightly benchmark schedules, and implementing retry mechanisms for failed benchmarks. They also integrated Slack notifications and artifact archiving to improve the CI/CD process and reporting capabilities. The user's contributions demonstrate a focus on automating builds, tests, and deployments within the context of performance monitoring.
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