Summary
Sergei Zhirnov is a Senior Data Engineer based in Espoo, Finland with a decade of experience building scalable telemetry and data pipelines for high-throughput time-series systems. He has driven telemetry infrastructure work at ICEYE, replacing legacy parsers and benchmarking multiple databases to support terabytes of satellite data, and previously led backend and real-time market-data pipeline efforts at Cindicator. Comfortable across the stack, he combines Python, Kafka, FastAPI/Django, async patterns and orchestration tools to turn noisy, high-frequency feeds into reliable APIs and visualizations (Grafana). Sergei’s background uniquely blends computer science engineering with advanced study in neuroscience, reflecting a data-driven, analytical approach to system design and anomaly detection. He’s known for pragmatic system architecture decisions and cross-disciplinary collaboration with hardware teams to operationalize complex telemetry.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Neuroscience, Master of Science - MS, Neuroscience at Aalto University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Peter the Great St.Petersburg Polytechnic University
Russian, English, German