Lakehouse architecture
A practical OneLake layout with clear boundaries between raw, refined, and business-ready data.
Microsoft Fabric consulting
Lakehouses, dbt pipelines, and governed data layers for companies moving beyond Power BI extracts and fragmented reporting.
Houston-based, serving teams across Texas and remotely. Microsoft Certified: Fabric Data Engineer Associate.
Book a Readiness CallScope
A practical OneLake layout with clear boundaries between raw, refined, and business-ready data.
Versioned SQL models, tests, documentation, and selective builds on the fabricspark adapter.
Checks and alerts that catch broken loads before a stakeholder finds the wrong number.
Governed, well-modeled datasets that can safely support reporting, agents, and advanced analysis.
Connected systems
The point is not to replace every operational system. It is to make the data they produce reliable, connected, and usable in one place.
Engagement
Map sources, reporting pain, and the business metrics that need a single definition.
Design the Fabric target state and phase the work around the highest-value data products.
Build in small, tested releases with documented handover for the internal team.
FAQ
No. The initial scope should start with the data products and reports creating the most operational drag. The architecture can grow without a big-bang migration.
Yes. Fabric is often the next step for a Power BI team whose data refreshes and logic have become too distributed to manage in reports alone.
Tell us where your data lives — QuickBooks, job-costing software, your property management platform, spreadsheets — and what reporting costs you in manual work today. If a full platform build isn't the right answer, we'll say so.
What to expect
30-minute call to walk through your current systems and reports
An honest read on whether you need a full platform, or something simpler
Scope and pricing for a 2-week fixed-fee data audit
Evening and weekend availability. No pressure, no retainer pitch.
Send a few details and we'll reply within 2 business days.