Python Backend Developer (automation & reporting)
May 2025 — present- Backend logic and automation in Python
- Airflow pipelines for regular data processing
- PostgreSQL and MS SQL; optimized heavy raw SQL queries (30–70% faster)
- Migrated and adapted SQL logic from MS SQL to PostgreSQL
- Reporting subsystem built with Data Vault 2.0
- Automated report preparation in Airflow, reducing manual work by 40–60%
- Advanced SQL — CTEs, window functions, aggregations, temp tables; reverse-engineering legacy code
PythonAirflowPostgreSQLMS SQLSQLData VaultETLGit
Denis Golikov