Six patterns that make your Spark pipelines more reliable, portable, and easier to maintain I have worked as a Data Engineer for several years and have made my share of mistakes along the way. However, with experience, I have learned a few key tricks that really help you build reliable, clean, and reproducible code. This article focuses on a few powerful concepts that you should master as you build a career as a data engineer. 1. Know Your Platform Utilities: dbutils vs. no
