Summary
Evgenii Legotckoi is a versatile Data Engineer with 11 years of experience building ETL pipelines, backend systems and embedded software across Python, Java and C++ environments. He has a proven track record of turning legacy code into reliable, high-performance data workflows—recently authoring Python ETL for security advisory ingestion and refactoring Ruby pipelines at Rapid7. Comfortable in DevOps and cloud settings, he leverages Docker, Kubernetes and Kafka to automate and scale data integration, while also contributing practical Django and Qt tooling showcased on his technical blog. His background in telecom and fiber optics engineering, plus time as a university instructor, gives him a systems-minded approach to problem solving and mentoring. Now based in Prague, he combines hands-on development with a talent for performance optimization and pragmatic automation of business-critical processes.
11 years of coding experience
13 years of employment as a software developer
Management of transfer processes, Ungraduated PhD, Management of transfer processes, Ungraduated PhD at Omsk State Transport University (OSTU)
English, Russian, Czech