Improved query performance, resource utilization, and infrastructure costs. Applied data governance, quality, security, and RBAC. Guided architecture, documentation, mentoring, and supported CI/CD and ML workflows.

Built and optimized ETL/ELT pipelines with Python, SQL, dbt, and Airflow, integrating data from multiple sources. Delivered batch, streaming, and event-driven workloads with Kafka and Azure Event Hubs.

Implemented Data Contracts, quality controls, Kafka and Azure Event Hubs integrations, and Git-based CI/CD to strengthen data consistency and availability.

Designed and maintained data lake and warehouse solutions for analytics and BI. Built and orchestrated multi-source ETL/ELT pipelines with Python, SQL, dbt, and Airflow.

Improved data accessibility, query performance, operational visibility, and decision support across transactional, analytical, and microservices environments.

Developed data processing and analytics solutions with Python, SQL, Azure Data Lake, and SQL Server. Managed 10 TB of historical data and built Power BI dashboards.