- Build and evolve data platforms using Python, SQL, ClickHouse, Airflow, Kafka, dbt, and dlt.
- Design clean, sustainable data models using dimensional modeling and Kimball principles.
- Manage transformation workflows in dbt to improve testing, documentation, and lineage.
- Optimize data storage and query performance in ClickHouse.
- Improve platform reliability, observability, and data quality within Kubernetes environments.
- Drive engineering standards and best practices for data development, testing, and deployment.
- Champion data governance and partner with cross-functional teams to translate business needs into technical solutions.
- Contribute to architectural decisions and mentor other engineers.
PythonSQLKafka+4 more