Design, build, deploy, and support scalable backend APIs and agentic AI solutions using Go. Architect microservices and cloud infrastructure (Azure/GCP), integrate data platforms, create API docs and partner enablement assets, and ensure operational readiness with CI/CD, SLOs, and security-by-design.

Design, build, and scale Azure-based data ingestion and transformation pipelines using Python and Databricks. Implement config-driven, testable ETL/ELT with PySpark and Delta Lake, enforce data quality, optimize Spark jobs, create reusable libraries and onboarding templates, and support Bronze/Silver/Gold medallion patterns and domain onboarding (Provider, Claims, Member, Eligibility). Participate in code review, documentation, and production operations.

Responsible for designing, building, and maintaining scalable data pipelines using Databricks. Optimize ETL/ELT processes and ensure data quality, governance, and security.