Building Resilient Data Pipelines: A Guide for Data Engineers

The field of data engineering is dynamic, and the journey from a junior to a senior data engineer involves mastering the art of designing robust data pipelines. The key distinction lies in the approach taken towards pipeline design. While a junior data engineer may create a pipeline, conduct a unit test, and assume its perpetual success, a senior data engineer operates with the understanding that failures can occur even after rigorous testing. This prompts the senior engineer to prioritize building contingency plans, ensuring the pipeline can…