Pavel Shevchuk
Data Engineer
Astana, Astana, Kazakhstan
Summary
👤
Senior🎓
Top SchoolPavel Shevchuk is a data engineer with 8 years of experience and 5+ years focused on building scalable Python, SQL and Spark pipelines for large financial institutions. He has driven measurable impact—cutting report generation from 8 hours to 15 minutes, reducing pipeline runtimes by up to 80%, and saving $200K/year by migrating legacy systems to modern platforms. Comfortable across the Hadoop/Spark/Greenplum stack, he combines ETL optimization, data mart design and orchestration (Airflow) with hands-on observability using Prometheus and Grafana. Pavel’s work emphasizes reliability and cost efficiency, including automated alerts and partition management that materially reduced downtime and manual effort. Based in Astana, he seeks to apply his fintech experience to large-scale data platforms and mentors aspiring data engineers, focusing on practical, production-ready skills. An analytical thinker with an academic background in applied mathematics, he often blends rigorous modelling sensibilities into pragmatic engineering solutions.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Applied Mathematics and Computer science, Master's degree, Applied Mathematics and Computer science at Moscow Aviation Institute (National Research University)
EnglishProgramming languages (1)
Github contributions (5)
pavels-k/DE
Mar 2021 - Jan 2025
Contributions:28 pushes, 1 branch in 3 years 11 months
pavels-k/My-algorithms
Dec 2019 - Mar 2022
Contributions:60 pushes, 1 branch in 2 years 4 months
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