I build AI‑ready data foundations — Medallion pipelines, dbt‑first models, and semantic layers that turn product telemetry into trusted metrics. At AWS, Google, and high‑growth SaaS companies, I’ve automated reporting, accelerated decision cycles, and driven measurable improvements in revenue and retention. I partner with Product, Engineering, Finance, and GTM to define success metrics and deliver scalable self‑serve dashboards and analytics platforms. I enjoy blogging and teaching practical techniques for working with data. This book introduces the Observability‑Driven Revenue Framework, a way to connect observability signals such as error rate and latency directly to customer behavior and revenue impact.