Hi, I'm Jayas Piya Data Engineer

• 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.