Looker & LookML Development: Governed Semantic Layer and Dashboards

I build the governed semantic layer that turns your warehouse into one trusted source of business metrics in Looker. Instead of every team writing its own SQL and arriving at three different numbers for revenue, I model your data once in LookML: clean views, well-defined explores, and reusable measures that everyone queries the same way. Certified metrics like MRR, churn, gross margin, and active users get a single definition that lives in version-controlled code, so a number on an executive dashboard means exactly the same thing as the same number in a self-serve report.

My work covers the full delivery, not just a pile of tiles. I design the LookML model layer with derived tables, persistent aggregate tables for speed, and symmetric aggregates that keep totals correct across joins. I set up explores tuned for how your analysts actually think, then build dashboards and Looks on top of them with clear filters, drill paths, and alerts. I also wire up permissions properly: model sets, permission sets, and row-level access so finance, sales, and clients each see only what they should. Where you need analytics inside your own product, I implement embedded Looker with signed SSO and per-tenant filtering.

You finish with a maintainable repository, documented metrics, and a team that trusts the dashboards. I work through your Git workflow with proper development and production modes, code review on LookML changes, and validation before anything ships. Typical engagements include a metric audit and data model, a suite of governed dashboards, and a handover so your people can extend it confidently.

— LookML models, views, explores, and reusable measures
— Persistent derived tables and aggregate awareness for performance
— Governed dashboards, Looks, alerts, and scheduled deliveries
— Permission sets, model sets, and row-level access control
— Embedded analytics with signed SSO and multi-tenant filtering