Building the Analytical Foundation of a Sports Business
Architected and led the cloud-native platform underpinning an $80M sports analytics business. Built the data engineering organization from zero, growing to 15+ engineers and owning the full technical roadmap.
- Architected cloud-native data platform; reduced infra costs by 40% while enabling real-time analytics for 100+ stakeholders
- Pioneered LLM code generation workflow driving a 35% productivity gain — shipping 1–3 more features per quarter
- Reduced critical data processing latency from 2 weeks → 45 min via ETL automation; enabled same-day ad decisions for 80% of clients
- Replaced error-prone manual reporting with production-grade daily pipelines; 95% reduction in data inconsistencies
- Stewarded $1.25M engineering budget; reallocated 60% from legacy systems to AI/ML
- Led migration from monolithic to event-driven microservices (Kafka, Node.js); 10× throughput, $100K annual savings