Designs enterprise-scale cloud data architectures, lakes, warehouses, and lakehouses across AWS and Azure. Develops high-level designs, medallion architectures, data models, integration patterns, governance and security frameworks. Leads batch and real-time ETL/ELT architecture, cloud modernization, performance and cost optimization, while providing technical leadership and mentoring data engineering teams.

Designs, develops, and leads enterprise-scale AWS and Azure data platforms, pipelines, lakes, warehouses, and lakehouses. Builds ETL/ELT workflows using SQL, Python, Spark, Databricks, Kafka, Airflow, and dbt; implements data quality, governance, security, monitoring, CI/CD, and automated testing. Optimizes performance, reliability, scalability, and cloud costs, troubleshoots production issues, collaborates with technical and business stakeholders, and mentors junior engineers.