Summary
Oleg Urev is a Data Engineer with eight years of hands-on experience building ETL pipelines, data marts, and ML-enabled analytics using Python, SQL and modern DW tools. He combines a strong engineering education in radio transmission systems with practical expertise in ClickHouse, Greenplum, dbt, Airflow, and data-vault modeling to deliver reliable, production-ready data flows. Comfortable across the stack, he writes performant SQL, automates tasks and ETL with Python/SQLAlchemy, and builds lightweight services with Flask and Docker. He has practical visualization experience with Plotly/Dash, Metabase and Yandex Datalens, and a particular interest in data quality engineering that guides his design choices. A longtime practitioner, he contributes as a code reviewer and has applied machine-learning models in production contexts while working in retail and analytics teams. Based in Russia, he blends systems-level thinking from his early broadcast-engineering work with modern data engineering practices.
8 years of coding experience
4 years of employment as a software developer
Магистр, устройства передачи информации (радиопередатчики), Магистр, устройства передачи информации (радиопередатчики) at Moscow Technical University of Communications and Informatics (MTUCI)
техник, ремонт и техническое обслуживание радиоэлектронной аппаратуры, 5, техник, ремонт и техническое обслуживание радиоэлектронной аппаратуры, 5 at МОГК
Русский, Английский