Luke L.

Expert-Vetted data engineer & Tableau developer — top 1% of all Upwork talent. 5,000+ hours across 31 contracts, $500K+ earned, 100% Job Success. I build the warehouses and dashboards your team will actually use. Not one-off deliverables that break the week after handoff — data infrastructure that holds up. Most of my clients keep me for years, embedded alongside their team as their data engineer. A typical engagement looks like one of these: **You have data scattered across tools and no pipeline.** I build the warehouse and ingestion from scratch — Snowflake or BigQuery, fed by Fivetran or Stitch and modeled in dbt — so your data lands clean, deduplicated, and ready to query. **You have dashboards nobody trusts.** I rebuild the model underneath them, then rebuild the Tableau layer on top: fast, accurate, and designed so executives can answer their own questions. **Your data person left, or you never had one.** I step in as a fractional data engineer — owning pipelines, Tableau Server, and reporting so your team can stay focused on the product. Stack I work in daily: Snowflake, dbt, Tableau (Desktop + Server), SQL, Fivetran, Stitch, Airflow, BigQuery, Redshift, PostgreSQL, AWS, Azure. I've done this across healthcare tech, consumer packaged goods, e-commerce, entertainment, and financial services — including HIPAA-regulated patient data environments where accuracy and auditability are non-negotiable. One more thing clients ask about lately: getting their data ready for AI. LLM tools are only as good as the data underneath them — clean, well-modeled, documented tables. That modeling work is exactly what I do, and I use AI tooling daily in my own workflow, so I know what "AI-ready" actually requires. If you want a sense of how I work, read my reviews — nearly every client I've started with has extended or come back. Send me a message with a couple of sentences about your data setup and what's not working — I respond within 24 hours and I'll tell you straight whether I'm the right fit.