I’m a senior data & analytics engineer focused on building foundations: governed models, metric consistency, and scalable delivery patterns that keep analytics from collapsing under its own weight. I’ve led initiatives around warehouse/lakehouse modeling, dbt standards, CI/testing strategy, and stakeholder alignment on KPI definitions—because the hardest part is rarely the SQL, it’s getting everyone to trust the same story. I care about pragmatic engineering: choosing the simplest architecture that will survive growth, making tradeoffs explicit, and automating guardrails so quality is the default.
I’m happiest partnering with analysts and data scientists to remove bottlenecks, and with platform/infra teams to make pipelines performant and observable. The outcome I aim for is boring reliability: when data is fresh, documented, and consistent across tools, teams move faster—and the data org stops playing defense.More...