How to Add Error Handling and Monitoring to a Data Pipeline

Most data pipeline guides cover the happy path: extract data, transform it, load it to the destination. What they skip is everything that happens when the path isn't happy: the API that returns unexpected data, the transformation that fails partway through, the destination write that times out after