What is feature engineering pipeline design in machine learning systems?

A feature engineering pipeline automates data transformations from raw input to model-ready features.

A robust pipeline ensures reproducibility, consistency, and scalability. It includes steps like imputation, encoding, scaling, and feature selection. Pipelines prevent data leakage by ensuring transformations are learned only from training data and applied consistently to validation and test sets.