I untangle messy JSON and raw tables into clean, version-controlled dbt models and DAX semantic layers, ensuring your data is standardized, tested, and ready for BI consumption.
You are suffering from sprawling logic. When analysts write heavy SQL queries directly inside BI tools, calculations become untrackable. If a formula changes, you have to manually update 50 different dashboards.
Your dashboards are timing out. Forcing a visualization tool like Power BI to parse unstructured JSON or massive flattened audit trails causes the engine to crash, leaving executives staring at loading screens.
Your data has zero quality assurance. Without automated dbt tests running upstream, bad data feeds directly into your reports, eroding trust in the analytics entirely.
DBT ยท DAX MODELS
Every semantic engagement is scoped strictly to your operational reality. No bloat. No guesswork.
Organizations deeply embedded in the Microsoft stack that need to optimize their Power BI reporting layer for massive datasets.
Modern data teams scaling rapidly on Snowflake or Databricks who need strict engineering governance applied to their business logic.
Data systems decay without active maintenance. My O&M retainers keep your semantic infrastructure secure, optimized, and evolving as your business definitions change.
Metric logic updates & iteration
Automated test monitoring
Performance & query optimization
Git repository management
Your operational data is now structured, tested, and certified in the semantic layer. The final move is feeding this unshakeable data into interactive dashboards so leadership has real-time KPI visibility.
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