Python services
APIs, ingestion pipelines, and processing jobs. Built, deployed, and kept running.
Most of this work is Flask or FastAPI in front of something that has to be right: an ingestion pipeline pulling vendor data, a processing job turning raw records into something queryable, an endpoint another system depends on.
The build includes the parts that get skipped under deadline. Input validation at the boundary so bad vendor data fails fast instead of poisoning a table. Structured logging so the answer to what happened at 6am takes minutes rather than an afternoon. Configuration read from the environment, never hardcoded.
Deployment targets whatever you already run. If you have no opinion, a managed host with health checks and automatic restarts is the default.
What you get
- Flask or FastAPI service
- Ingestion and processing pipelines
- Validation at the boundary
- Structured logging and health checks
- Deployment and environment configuration