Michael Dokolin is a Principal Software Engineer based in Amsterdam with a decade of experience building and optimizing backend systems. At Elastic since 2021, he has driven improvements in Kibana’s data processing, reporting and PDF export pipeline, removing dependencies and improving aggregation performance for large-scale observability use cases. He combines deep practical knowledge of backend engineering with a focus on measurable UX outcomes—e.g., fixing canvas/table interactions that unblock analytics workflows. Trained at South Ural State University, he blends rigorous academic foundations with hands-on contributions to a widely used open-source stack. Colleagues describe him as a pragmatic problem-solver who surfaces non-obvious performance wins that benefit both product and platform.
Contributions:411 reviews, 145 commits, 313 PRs in 1 year 10 months
Contributions summary:Michael's commits primarily involved enhancements to the Kibana application's data processing and reporting capabilities. They updated the `esaggs` function for improved aggregation, specifically integrating count aggregation by default and addressing a canvas element issue related to data tables. They also removed dependencies from the content stream to improve the reporting functions performance. Furthermore, they worked on optimizing the pdf export.
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Michael Dokolin - Principal Software Engineer at Elastic