Multi-Agent Data Pipeline

Data pipelines that combine multiple processing stages: ingestion, transformation, validation, enrichment, typically hand each stage to a fixed script with no ability to reason about malformed input, adapt to schema drift, or explain why a given row failed validation. When something breaks, the on-call engineer is the fallback reasoning layer.

A multi-agent pipeline where specialized agents handle ingestion, transformation, and validation stages independently, coordinated through LangGraph with each agent able to reason about ambiguous or malformed input rather than hard-failing the whole run. Built with full architecture documentation and an interactive diagram from day one, and backed by 511 tests at 84% coverage before being considered production-ready.