Although the terms "Data Science pipelines" and "ETL pipelines" both refer to the process of transferring data from one system to another, there are key differences between the two: The ETL pipeline stops when the data is loaded into a data warehouse or database. The Data Science pipeline does not stop at this stage and includes additional steps such as Feature Engineering or Machine Learning.