project · 2022-2024
Usage-analytics API layer
Built a typed API layer that turns analytical warehouse queries into reliable, self-service usage reporting for product and support teams.
The problem
Usage analytics is valuable only when the people who need it can access consistent, well-defined metrics without writing warehouse queries themselves.
Approach
- Designed a typed REST interface for common reporting questions such as volume, latency, errors, and trends.
- Kept query logic and metric definitions behind a stable API contract.
- Focused on predictable responses, filtering, and documentation for downstream consumers.
Outcome
The API layer made operational analytics easier to consume while keeping the underlying implementation private and independently evolvable.