Konstantin Tcepliaev is a Technical Lead based in Stockholm with 14 years of experience building and operating high-throughput telecom and backend systems. He has led teams developing converged EPC/5GC stacks and production messaging cores, and has deep hands-on experience with Java, Kotlin, Erlang/Elixir, GRPC, Kafka, Kubernetes and CI tooling like Bazel. A pragmatic engineer who moves between architecture and implementation, he has migrated critical voice infrastructure to Kubernetes with custom Multus networking for static IPs and driven Kafka migrations for real-time stacks. Konstantin also contributes to notable open-source tooling—having implemented S3 operations and scheduler fixes in Spotify’s widely used Luigi workflow library—demonstrating an understanding of distributed batch systems. He prefers direct, efficient communication and filters outreach carefully, reflecting a focus on impactful technical work rather than recruiting noise. Versatile across languages and domains, he combines telecom-grade reliability with data-pipeline and cloud-native operational experience.
14 years of coding experience
10 years of employment as a software developer
Engineer's degree Computer Science, Engineer's degree Computer Science at Voronezh State University
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Role in this project:
Back-end Developer
Contributions:5 commits, 1 PR, 7 comments in 7 months
Contributions summary:Konstantin primarily contributed to the `luigi` Python library by implementing and modifying backend functionalities. They added methods for S3 interaction, including copy, rename, and list functionalities. The user also addressed scheduling and RPC request issues, fixing bugs and improving communication with the scheduler. These changes reflect an understanding of the library's internal workings and its interactions with external services like S3.
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