• Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for data ingestion, transformation, and processing. • Integrate data from various structured and unstructured sources, including medical imaging systems, EMRs, Change-Data-Capture from SQL Databases, and external APIs. • Collaborate with the analytics team to create, optimize, and maintain dashboards in Looker. • Deploy and manage cloud-based solutions on AWS (e.g., S3, EMR, Lambda, EC2) to ensure scalability, availability, and cost-efficiency using IaC tooling (Terraform and Databricks Asset Bundles). • Oversee MongoDB and PostgreSQL databases, including schema design, indexing, and performance tuning. • Adhere to healthcare compliance requirements (e.g., HIPAA) and best practices for data privacy and security. • Work cross-functionally with data scientists, product managers, and other engineering teams to gather requirements and define data workflows.