Nikolay Krupiy

Designed and built a data platform from scratch as sole architect and primary engineer, using ClickHouse-only architecture. Implemented Airbyte ingestion, Dagster orchestration, and GitLab CI/CD with dbt Slim CI and quality gates.

Replaced legacy ETL with a self-developed dbt-like SQL-first framework on the corporate Airflow wrapper, adopted as the team standard. Standardized 40+ models over ~700 GB with unified initial, incremental, and managed backfill loads.

Led all data engineering for the Credit Automation Platform, building a PySpark and Airflow framework for ETL pipelines and data marts feeding corporate-client scoring ML models.

Designed and built Compliance data marts and production ETL on Spark/Hadoop, developing custom PySpark/Pandas libraries to automate data processing. Worked with ML teams on feature engineering, ML data marts, model deployment, and monitoring.

Led a dev team delivering an employee-bonus calculation data product from business requirements to production, designing ETL and all EDW layers on a Data Vault-like architecture.

Moved BI/DW to a unified EDW with OLAP reporting and integrations, setting development standards and monitoring, and hiring and leading the team.

Built corporate DWH and OLAP solutions from scratch, performing system analysis and performance tuning.

Earned an Engineer's degree in Computer Complexes, Systems and Networks after a five-year program.