Data

In real-world data engineering pipelines, one of the most common mistakes is postponing data cleansing until too late in the pipeline. The cleaner your upstream data is, the simpler and more maintainable your downstream models will be. Let’s break it down. ✅ The Principle Whenever possible, cleanse your data as early as possible — ideally at the staging layer. ✅ The Why 1️⃣ Clear Separation of Responsibilities Staging models are responsible for: ...