Data Wrangling Pipelines: The Series of Automated Steps for Cleaning Raw Data

Raw data is rarely ready for analysis the moment it is collected. It arrives with missing values, inconsistent formats, duplicated records, outliers, and schema changes that break downstream dashboards and models. A data wrangling pipeline solves this by turning cleaning into a repeatable, automated workflow rather than a one-time manual task. When teams standardise these…