Lead AI strategy, client advisory, and design of production-grade GenAI/ML solutions. Drive pre-sales, PoCs, solution architecture, MLOps, cross-functional delivery, and mentor teams to scale AI across clients.

Design and lead end-to-end data lakehouse and ETL solutions using Databricks, PySpark, Delta Lake, Airflow, Snowflake, and AWS. Build scalable, governed Medallion architectures, implement data quality and orchestration, optimize Spark performance, and ensure security, availability, and lineage across enterprise data pipelines.

Design, implement, and maintain scalable ETL pipelines and data architectures using Databricks and PySpark. Collaborate with clients and cross-functional teams, optimize data workflows, ensure HIPAA-compliant handling of healthcare datasets, perform EDA and statistical analysis, and create reusable Python frameworks and technical documentation.