Ian Gregg

Designed, architected, and deployed a scalable AWS cloud-based data warehouse within a 6-week delivery timeline while maintaining extremely low operational costs. Built and optimized end-to-end ETL and data pipeline workflows to integrate and transform data for analytics, reporting, and data warehouse performance.

Developed, maintained, and optimized SSIS ETL packages for healthcare data processing and regulatory reporting. Streamlined data integration workflows across 16 provider groups, reducing onboarding time by 30% and supporting HEDIS audits with 99% accuracy.

Modernized an Angular front end into a scalable single-page application, reducing load times by 40% and supporting a platform serving 90K users. Delivered 10 new features across Logi Analytics and Angular applications while resolving 60% of cross-team tickets within SLA.

Reduced cloud infrastructure costs by $350K annually by redesigning CPU-intensive SQL processing as Apache NiFi ETL pipelines, improving overall system efficiency by 70%. Architected and maintained 650+ enterprise ETL pipelines that transformed SQL data into Couchbase JSON, supporting 4 microservices and reducing processing time by 93%.

Built a monorepo and CI/CD pipeline for Angular applications, reducing deployment time by 90% and cutting duplicate code by 60%. Standardized pre-production, QA, and production environments, reducing production defects by 37% and shortening release cycles.

Bachelor of Science in Communication from Portland State University.

Completed coursework in C#, React, and JavaScript at Epicodus.