Work History

• Enforced standard implementation workflows through strategic governance, eliminating technical debt and non-standard client configurations across the organization.
• Evaluated the internal Product LLM tool prior to release, testing agentic workflows to advance the organization’s AI Platform Engineering and LLMOps capabilities.
• Spearheaded the Standard Implementation Guide and Repository to reduce project setup time, ensure consistency, and scale project delivery without sacrificing quality.

• Bridged the product-field feedback gap by rigorously testing features prior to product release, preventing broken deployments and ensuring real-world viability for scalable operations.

Spearheaded a multi-year, domain-by-domain migration of legacy projects to a modern data platform using the Strangler pattern, ensuring seamless client transitions.

• Engineered HL7 FHIR data integration framework, decoupling business logic from external data sources to ensure seamless enterprise-level interoperability.
• Automated data pipeline documentation, DAG flow visualization, and data lineage mapping, eliminating manual overhead and ensuring complete system visibility.
• Architected fail-safe data pipelines utilizing an Audit Balance Report framework and real-time observability metrics to guarantee data integrity and correct ingestion.
• Optimized a major data product by refactoring the legacy codebase and tuning complex mapping queries, achieving performance gains with zero disruption to end users.
• Mentored junior engineers and led technical training sessions, contributing to the team’s knowledge base to prevent technical silos and accelerate new hire onboarding.

Designed scalable data pipelines in Databricks, leading end-to-end ingestion of complex sources like the Salesforce Health Cloud Dataset.

• Orchestrated batch processing workflows, conducting performance profiling and query optimization to ensure efficient retrieval and lower compute costs.
• Automated the analysis process to solve the integration challenges of mapping raw client data from Bronze to standard healthcare formats in Silver.
• Built stored procedures, UDFs, and modular queries to apply reusable healthcare logic, transforming raw staging data into optimized, analytics-ready tables.
• Improved overall team productivity and reduced manual effort by proactively automating repetitive technical tasks and debugging complex data pipeline issues.

Completed the Data Engineering Fundamentals

• Optimized internal operations by building Google Apps Script and Python automation tools, reducing manual data entry and streamlining cross-departmental reporting.

• Developed a web scraping pipeline in Python to retrieve and standardize RxNorm healthcare data, incorporating API authentication, automated logging, and multi-format validation.