I will build python microservices backend with fastapi, kafka and postgresql

Senior Python backend engineer specializing in event-driven microservices: FastAPI, async SQLAlchemy, PostgreSQL, Kafka, Alembic, Pydantic v2.

Built to survive growth, concurrent load and third-party failures while staying predictable and maintainable for the next engineer.

What I build and ship in production:

- Domain-driven structure: service, repository, use cases and thin handlers. One class, one responsibility.

- Kafka pipeline: request, poll, retry and response queues, consumer and producer setup, at-least-once delivery.

- Outbox pattern: DB transaction first, external API call second, no lost operations on network failure.

- Idempotency: unique constraints plus duplicate detection, so redelivery never corrupts data.

- Typed contracts: Pydantic v2 schemas everywhere, no raw dicts.

- Error handling as architecture: domain exception hierarchy, explicit catch, retry and log rules.

- Event history table for audits and debugging.

Right fit if you need microservices from scratch, Kafka added to an existing Python monolith, or a reliable integration with payments, banking or logistics APIs.

Result: an architecture any mid or senior developer can pick up after me.