Aleksandr Demidenkov

Senior data engineer role in international English-speaking teams. Scope: enterprise data platform migration to Snowflake with dbt Cloud (Medallion architecture with Bronze/Silver/Gold layers, schema tests, ~10x batch runtime improvement on pipelines processing 100B+ row tables), analytics pipeline development with Apache Airflow, and enterprise SQL Server DWH support (stored procedure optimization 3-10x, root-cause analysis, controlled reprocessing under SLA pressure). Tech: Snowflake, dbt Cloud, MS SQL

Senior data engineering role focused on analytics platform development, data warehouse operations, and self-service tooling for analytics teams. Scope: production ETL/ELT pipelines, orchestration with Apache Airflow, data quality automation, Python-based internal tooling, query optimization (complex analytical query runtime from 20-30 minutes to 3-5 minutes). Tech: Python, SQL, Apache Airflow, ClickHouse, MS SQL Server, Docker, GitLab CI/CD, Power BI.

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.