Python for Data Engineers 5 | Functions with Real Data Engineering Examples 🐍🚀

🐍 PYTHON FOR DATA ENGINEERS — EPISODE 05 IS HERE! 🚀 Welcome back to Data Engineering With KD! In Episode 5, we're learning one of the most important Python concepts for Data Engineers — Functions. Functions allow us to write code once and reuse it multiple times. This is extremely useful when building ETL pipelines, data transformations, validation logic, automation workflows, and production data pipelines. 🚀 In This Episode, You'll Learn: ✅ What are Python Functions? ✅ How to define a function using def ✅ How to call a function ✅ Parameters & Arguments ✅ Multiple Parameters ✅ return statement ✅ Default Parameters ✅ Keyword Arguments ✅ Data Validation Functions ✅ Data Transformation Functions ✅ Functions + Loops for ETL ✅ Real-world Data Engineering examples