Eugene Bikkinin is a Senior Data Platform Engineer based in Berlin with a decade-plus background in building data platforms, streaming architectures, and self-service tooling, often operating as a DataOps engineer rather than a traditional data developer. He has led Data Mesh adoption and designed Azure/Databricks-based platforms, shipping production-grade pipelines, CDC/event integrations, and BI tooling while managing and hiring engineering teams. Eugene is an active open-source contributor—maintaining a SQLAlchemy Kusto dialect and contributing to Apache Superset—which reflects his interest in distributed systems and practical OSS impact. He combines hands-on systems work (from high-RPS backend services to MLOps for computer vision) with strategic platform thinking, making him adept at turning complex data needs into scalable, self-serve infrastructure.
8 years of coding experience
15 years of employment as a software developer
Master of Engineering - MEng Mechanical Engineering, Master of Engineering - MEng Mechanical Engineering at Bauman Moscow State Technical University
Contributions:103 commits, 2 PRs, 86 pushes in 2 months
distributed-systemspython
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