At Sonos, I lead a global organization spanning Data Engineering, Analytics, ML Engineering, and Data Analysts. I developed a global hiring strategy across the EU that cut costs by 30%.
I drove a five-day AI-focused execution onsite that saves $700K+ annually and was adopted by five more teams. I also initiated an AI-powered on-call agent to triage incidents and surface relevant context.
As Engineering Manager, I grew the team from four to nine and introduced on-call rotations and incident reviews, cutting incident resolution times by 35%. I modernized the data stack with Iceberg and AWS OpenSearch, saving $1M+ annually.
Earlier at Sonos, I launched a self-serve Product Data Discovery portal that improved discoverability by 70%, and drove a migration from NiFi to Airflow and DBT. At Amazon Web Services, I remodeled a Chain Load Balancer workflow and integrated it into CodePipeline, cutting migrations by 70%.
