Dzmitry Lazerka
Co-Founder, CxO at VictoriaMetrics
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolDzmitry Lazerka is a founder and seasoned engineering leader with six years of recent experience building high-performance, production-grade systems for observability and autonomous vehicles. As Co-Founder and CxO at VictoriaMetrics, he drives a next-generation time-series database focused on extreme ingestion rates, query speed, and storage efficiency, and contributes to its open-source build and CI infrastructure. His background includes ML and systems work at Lyft Level 5 and Spire Global, where he designed scenario-definition languages, ML/CV pipelines, large-scale data lakes, and global vessel-prediction services. He combines hands-on DevOps and backend engineering with product and security responsibilities from earlier co-founder roles, delivering end-to-end solutions from prototype to certification. Based in Seattle, he pairs rigorous mathematical training with a taste for adventurous pursuits—rock climbing, mountaineering, and paragliding—which reflects a bias for risk-managed, high-reward engineering decisions.
6 years of coding experience
12 years of employment as a software developer
Master of Science (M.Sc.), Mathematics, Master of Science (M.Sc.), Mathematics at Belarusian State UniversityComputer Science, Computer Science at Online Courses
English, belarus, Russian
Stackoverflow
1,840reputation
534kreached
40answers
34questions
Github Skills (26)
github-ci10
scripting10
bash10
cicd10
script10
sh10
shell10
githubaction-workflow10
kubernetes9
kubernetes-pods9
go9
tsd8
monitoring8
promql7
databases7
Programming languages (5)
Github contributions (5)
VictoriaMetrics/VictoriaMetrics
Sep 2021 - Dec 2022
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
Role in this project:
DevOps Engineer & Backend Engineer
DevOps Engineer & Backend EngineerContributions:41 reviews, 32 commits, 38 PRs in 1 year 3 months
Contributions summary:Dzmitry primarily focused on improving the repository's build and testing infrastructure. They implemented and updated GitHub Actions workflows to ensure code quality and maintain a clean merge history. The user also made code changes to fix paths within the codebase. These commits demonstrate a focus on automation, code quality, and overall maintainability of the project.
promqlobservabilitycost-effectivegrafanaprometheus
dima-vm/presto
Dec 2019 - May 2020
The official home of the Presto distributed SQL query engine for big data
Contributions:3 pushes, 2 branches in 5 months
jdbchbasebigdatakudubig-data
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