Senior Software Engineer at Google Cloud Poland Sp. z o.o.
Warsaw, Masovian Voivodeship, Poland
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Summary
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Rockstar
Łukasz Kowalewski is a Senior Software Engineer with 11 years of experience building and hardening backend systems for cloud and big-data platforms, currently at Google Cloud in Warsaw. He has deep practical experience in distributed SQL engines—contributing to flagship projects like Trino and Presto—focusing on memory management, data writes, query planning and connector robustness. His background includes production-grade work on cloud-native tooling such as Kubernetes autoscaling and core REST frameworks, reflecting a knack for performance-driven refactors and thread-safety. Previously he combined academic research and industry delivery at Politechnika Warszawska and Dealavo, bridging theoretical rigor with pragmatic engineering. Known for adding targeted tests that catch concurrency edge cases, he brings a detail-oriented approach to stability and scalability in large codebases.
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Role in this project:
Back-end Developer
Contributions:5962 reviews, 32 commits, 1283 PRs in 1 year 5 months
Contributions summary:Łukasz primarily contributed to core backend functionality within the Trino project, a distributed SQL query engine for big data. Their commits focused on database-related tasks, specifically involving memory pool management and handling data writes, as well as improvements related to the Apache Hive connector. They also worked on improving the stability and robustness of the system by adding test cases that addressed potential concurrency issues.
Contributions:44 releases, 395 commits, 225 PRs in 2 years 2 months
Contributions summary:Łukasz primarily worked on refactoring and improving code within the `kubernetes/autoscaler` repository. Their commits focused on enhancing the code structure, as seen in the move of common structs and the introduction of asserting expanding strategies for unit tests. They also made performance improvements through the use of more efficient sorting methods. Additionally, the user updated the Go version and modified test files to accommodate GPU-related definitions and tests.
k8skubernetesautoscaling
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Łukasz Kowalewski - Senior Software Engineer at Google Cloud Poland Sp. z o.o.