Opeoluwa Osunkoya

• Led a data platform migration for 100PB of data with 15 engineers and >50 use-cases over 6 months with no customer impact. • Set a multi-year roadmap for a Real Estate Data org (8 teams), aligning product + engineering leaders on what to build, when, and how success would be measured. • Established org-wide data delivery standards (PRDs, data contracts, governance, lineage, observability), reducing rework and speeding up cross-team reviews. • Led development of Listing Transparency data products (data modeling + pipeline design) to detect hidden/private listings and improve customer-facing data quality. • Improved pipeline SLA performance by reducing “late-to-Zillow” listings by 60% through end-to-end pipeline redesign and operational hardening. • Reduced downstream ML/AI inference spend by 95% (~$5K/day → ~$50/day) by fixing upstream data inefficiencies and eliminating avoidable compute. • Designed and shipped event-driven ingestion into Databricks using Kafka (batch + streaming patterns), coordinating delivery across 4 teams through production launch and on-call readiness. • Led a cross-org Databricks migration (15 engineers / 10 teams), unblocking critical data workloads during a major platform transition. • Built governance capacity and partnered with internal platform teams + vendor support to roll out scalable access controls and quality standards adopted across teams. • Served as an org-wide reviewer for data integration, schema evolution, and consumer-first datasets—improving interoperability across pipelines and analytics products.