Tobias Wrenfield

Self-service data access eliminates the engineer bottleneck through governed infrastructure.

Database-native permission enforcement protects sensitive data across all query routes.

Architecture determines whether AI analyst tools enforce certified metrics or invent them.

Protect sensitive data with column hiding, row limits, and export controls.

Document your metrics in dbt code, not scattered across dashboards and notebooks.

Learn which masking technique protects each column type without breaking analytics.

Postgres enforces data isolation at the database layer instead of relying on application code.

Trace data movement from source to dashboard to find errors, protect changes, and prove compliance.