Python's generators offer a simple, elegant way to build lightweight data pipelines. In this talk, we’ll break down generator functions and expressions and walk through practical Data Engineering examples: streaming large datasets in chunks, transforming records without exhausting memory, and using yield for clean setup and teardown. A concise tour of how generators can make data workflows more efficient—and more elegant.