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WellByte
Healthcare wellness orgs rely on Power BI for metrics but lack governed change workflows. WellByte merges DAX-fetched Power BI org data with PostgreSQL approval states, Auth0 RBAC, Redis caching, and audit trails.
May 2026
Overview
Reporting API layering governance on Power BI as source of truth at Wamo. Express fetches org data via DAX queries cached in Redis, merges PostgreSQL workflow state for change requests and metrics overrides, and serves approved overlays to Angular. RBAC lives in permissions.json with field-level edits. Every action writes to audit logs. I owned the merge logic, approval flows, and threaded metric messaging.
Role
Backend ownership on reporting API and approval workflows for Power BI integration, Auth0 RBAC, and audit logging for wellness organizations.
Scope
Organization data merging from Power BI DAX queries with PostgreSQL workflow overlays, change-request approval flows, quarterly metrics override workflows, and threaded messaging for data anomalies.
Technologies
Node.jsExpressPostgreSQLPower BI REST APIAuth0RedisDAX
Key Learnings
- Power BI REST API integration with DAX query execution and embed tokens
- Approval workflow design merging external analytics data with local governance state
- RBAC with field-level permissions across organization hierarchy
- Caching strategies for expensive DAX queries with Redis TTL management
Challenges & Solutions
- Merging Power BI source-of-truth data with PostgreSQL workflow overlays without data drift
- Designing approval workflows that handle partial field edits across org hierarchies
- Managing DAX query performance and cache invalidation when underlying data changes
Business Impact
- Healthcare admins propose and approve org field changes with full audit trail.
- Quarterly metrics override workflows include approver review gates.
- Redis-cached DAX results reduce Power BI query load on expensive analytics calls.
Outcome
- Reporting API unifying Power BI analytics with PostgreSQL governance state.
- Threaded metric messaging for flagging and discussing data anomalies.
- RBAC patterns established for organization hierarchy management features.
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