Aleksandr Demidenkov

Data engineer in international English-speaking teams. Primary project: sole data engineer for a payments analytics platform on clustered ClickHouse, building 50+ Airflow DAGs for data ingestion, and quality automation, plus a Flask-based self-service tool that reduced analyst effort by 25%. Secondary project: Snowflake/dbt migration of sensor data pipelines, delivering dbt models in Medallion architecture with 10× performance improvement. Tech: ClickHouse, Airflow, Python, Flask, Snowflake, dbt, Docker.

Built an analytics DWH on MS SQL Server from scratch, integrating CRM, ERP, and BigQuery data via Python for a team of 10 analysts. Developed 40+ ETL pipelines for sales and financial analytics, optimized reporting workflows (50% faster), and maintained data infrastructure. Tech: MS SQL Server, SSIS, Python, Power BI, BigQuery.

Combined data engineering and analytics: deployed MS SQL analytics environment from scratch, built ETL pipelines, and developed analytical models including Monte Carlo simulation for incentive optimization (+7% margin-to-bonus ratio) and attrition scoring (-3% turnover). Created Power BI executive dashboards. Tech: MS SQL Server, SSIS, SSAS, Power BI, Python.

Product owner for KPI ScoreCard system, scaling from 700 to 2,000 employees across 10+ departments. Automated 50+ KPI calculations, built low-code configuration interface, and led ERP automation projects reducing operational costs by 20-40%. Tech: ERP (1C), SQL, UML, Agile.

Data analytics and planning roles in corporate banking. Key achievement: built SQL + VBA system for ATM cash demand forecasting (~1,000 ATMs), increasing productivity 5× and enabling team centralization from 25 to 4 staff. Also co-designed a loan profitability calculator for the corporate lending system.