Roman Zavodskikh is a software engineer based in Berlin with 11 years of experience building reliable, high-performance backend systems in Go and Python. He has deep hands-on expertise in cloud-native routing and ingress solutions, contributing significant features to Zalando's open-source Skipper project—including passive health checks, FabricGateway versioning, and performance-focused tests—to improve system reliability at scale. His background spans storage and infrastructure at Acronis, data engineering and ML feature work with PySpark at MTS, and end-to-end service delivery from his early digitalization projects, showing a rare mix of systems, data and DevOps experience. Roman holds advanced training from MIPT and MADE Big Data Academy and is comfortable moving between low-level performance work and platform-level integrations. He combines pragmatic engineering with a track record of shipping features that increase testability and operational resilience across complex distributed environments.
11 years of coding experience
6 years of employment as a software developer
Data Engineer, Data Engineer at MADE Big Data Academy
Master's degree Applied Mathematics and Physics, Master's degree Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
An HTTP router and reverse proxy for service composition, including use cases like Kubernetes Ingress
Role in this project:
Back-end Developer
Contributions:368 reviews, 5 commits, 146 PRs in 4 months
Contributions summary:Roman primarily contributed to the `skipper` project by implementing new features and making improvements to existing functionalities. Their work included introducing a custom separator option for route editing, adding a `modResponseHeader` filter with associated testing, and adding performance tests for the `cachedEndpoints` function. The user also addressed issue #2106 by updating the configuration to support multiple values for route modification. These changes collectively enhanced the routing capabilities and performance of the project.
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