ryan willson

Built a unified retail data model and automated 15 near-real-time pipelines (under 15-minute SLAs), cutting inventory discrepancies by 35% and reducing cloud costs by 20%. Delivered self-service dashboards that reduced prep time from two hours to ten minutes and shrank batch windows by 40%.

Designed and maintained scalable ETL/ELT pipelines integrating inventory, orders, customers, and shipping; migrated legacy RDBMS and flat-file workflows into AWS analytics stacks to accelerate financial and billing reports and enable real-time sales insights.

Designed Kafka and Spark streaming processing 500M+ events/day, reducing latency ~45% and built a multi-zone lakehouse on S3 that halved time-to-data and improved match rates by 20%. Tuned EMR/Glue/Redshift to cut ETL runtimes and cloud spend by ~30% while ensuring compliance for Fortune-level customers.

Led enterprise RDBMS-to-PostgreSQL migrations and architected petabyte-scale real-time and batch data pipelines using Spark and AWS (Glue/EMR), reducing downstream data errors by 40% and cutting infrastructure costs and latency.

Implemented end-to-end tagging achieving >98% event capture and reduced defects 40%; built A/B testing pipelines that shortened analysis from days to hours and increased conversion by 7%. Modeled unified profiles in AEP to boost activation reach 20% while operationalizing GDPR consent and deletion workflows.

Led two agile squads to deliver 10 cloud monitoring integrations in Kotlin/Java, doubling coverage and cutting time-to-market per integration by 50%. Delivered a serverless public API ingesting millions of metrics/day and drove CI/CD improvements that reduced incidents 30% and increased deployment cadence to weekly.

Delivered governance roadmaps and implemented lineage for 90% of critical datasets to meet HIPAA/GDPR/SOX; built InfoSphere/DataStage pipelines that shrank nightly batches 25% and led MDM consolidation of 20 sources to improve report accuracy and reduce duplicates.

Delivered enterprise data integration and governance solutions for healthcare and finance clients, designing ETL and metadata workflows to improve data reliability, lineage, and MDM practices.

Completed a Master of Science in Computer Science focusing on advanced topics in software and data engineering.

Earned a Bachelor of Science in Electrical Engineering & Computer Science with foundational training in software and systems engineering.