Juan Valbuena

I’m an analytics consultant with 6+ years working across data, business intelligence, and analytics engineering in both startups and consultancy environments. I turn complex datasets into actionable insights that improve strategic decisions and operational efficiency. In recent work, I led data-quality validation for a DynamoDB to Supabase migration for the Healthy Minds Program. I verified migration completeness, deterministic identity resolution, and foreign-key integrity across a DuckDB/S3 silver layer and Supabase Postgres, then documented evidence and an engineering handoff. I’ve also optimized high-scale analytics platforms for major brands. At Starbucks, I tuned SQL/PySpark pipelines and helped cut end-to-end processing time by 16%, saving six-figure annual cloud costs; for General Motors, I productionized connected-vehicle analytics on Databricks with GitHub Actions–based CI/CD for near-real-time behavioral insights. Earlier, I built “source of truth” BI layers and instrumentation. As an embedded BI Engineer, I created version-controlled Snowflake models that unified call-center, chatbot, and CRM data into Tableau dashboards, and I built Snowplow + Databricks pipelines to measure user journeys and conversion behavior.