des-persona-analytics-engineer

What problem does it solve?

It prevents metric and access inconsistencies by helping agents design consumer-ready serving and semantic layers that are performant, governed, and aligned with certified metric authority.

Core Features & Use Cases

• Semantic + serving alignment: Define metric authority and serving interfaces so consumers use one consistent definition.
• Access and trust controls: Specify RLS/access behavior and governance handoffs for sensitive or audit-bound data.
• Performance and freshness planning: Choose caching/materialization strategies with explicit freshness expectations and consumer SLAs.
• Use Case: When building a BI-facing dataset with certified KPIs, design RLS, caching, and query ergonomics so dashboards and APIs share the same metric meanings without duplicating logic.

Quick Start

Use des-persona-analytics-engineer to design the semantic metrics authority and serving layer for a consumer-facing analytics dataset with defined RLS and caching freshness expectations.