Trusted By
Teams I've built for
A few of the organizations whose data I've helped turn into decisions.
I design and build the data warehouses, BI, and AI/ML that turn scattered, messy source systems into decisions leaders can trust, with deep roots in medical data and the range to build for any industry.
From raw source data to a summit view: modeled, governed, and reportable.
I'm a data warehousing and BI developer who lives in the layer between raw operational systems and the reports people actually make decisions from. My specialty is medical and healthcare data, some of the most complex, regulated, and high-stakes data there is, where getting the model right matters as much as getting the number right.
That healthcare foundation travels well. The same discipline that untangles clinical, claims, and utilization data builds clean, reliable warehouses for energy, finance, and beyond. Whatever the domain, the job is the same: know the terrain, mark the trail, and get you to the summit safely.
Foundations, BI, and the predictive layer on top. End-to-end, or a specialist who parachutes in to fix the hard part.
Modern warehouses and dimensional models designed around how your business actually asks questions. Scalable, documented, and built to grow.
Ingestion and transformation pipelines that move data from source systems into a trustworthy single source of truth, with monitoring so you know it ran.
Power BI reporting and semantic models that give every team a clear, consistent summit view, with the governance to keep the numbers honest.
Clean, tested, version-controlled transformation layers that turn raw tables into reusable, well-defined metrics your whole org can rely on.
Row-level security, role-based access, and compliance-aware design, especially where regulated healthcare and financial data demand it.
Moving from spreadsheets and silos to the cloud, or between clouds. Practical architecture guidance grounded in real delivery, not slideware.
Predictive models trained on data you already trust: patient risk scoring, readmission and demand forecasting, churn, and anomaly detection. Turn your warehouse into a system that sees what's coming.
Chat with your own data: retrieval-augmented assistants, natural-language-to-SQL, and document summarization. Secure, grounded in your systems, and built so answers are always a plain question away.
Not sure where to start? I'll map your data landscape, find the highest-value first climb, and lay out a practical, staged roadmap that runs from foundations to BI to AI, with no wasted switchbacks.
Deep in healthcare, and proven well beyond it.
Clinical, operational, and branch-level reporting for end-of-life care.
Case, provider, and utilization data across surgical workflows.
Panel-level data for value-based, at-risk patient care.
Operational and performance analytics for the energy sector.
Regulated, high-accuracy reporting where every number has to reconcile.
New domain? The method travels. I learn the terrain fast and build for it.
A few of the organizations whose data I've helped turn into decisions.
I meet you on the platform you already run. No forced migrations, no lock-in agenda.
Azure SQL, Synapse, Fabric, and the full Power BI stack.
Redshift, S3, and Glue for scalable cloud data platforms.
BigQuery-centered warehousing and analytics on GCP.
A few things people ask before we start the climb.
I build the systems that pull data out of your source applications, model it into a clean single source of truth, and turn it into reports and dashboards your team can trust. In short, I connect messy operational data to clear decisions.
Yes. Much of my work is in healthcare, including hospice, home health, anesthesia, and capitated Medicare Advantage. Healthcare data is complex and heavily regulated, so the same discipline transfers cleanly to other industries like energy and financial services.
All three major clouds: Microsoft Azure (including Power BI, Synapse, and Fabric), Amazon AWS (Redshift, S3, Glue), and Google Cloud (BigQuery). I meet you on the platform you already run, with no forced migrations.
Yes. I work with small and mid-sized organizations that need enterprise-quality data work without an enterprise consulting budget. Engagements scope from a focused fix to a full end-to-end build, so you only pay for what you need.
Yes. Once your data is modeled and trustworthy, I build predictive models such as risk scoring, forecasting, and anomaly detection, plus generative AI tools like retrieval assistants and natural-language-to-SQL on top of it.
Reach out through the contact form with a bit about your data and your goals. I will map the landscape, find the highest-value first step, and lay out a practical, staged roadmap.
Have a data warehouse to build, a reporting mess to untangle, or a cloud move to plan? Tell me where you're headed and I'll help chart the path.