Is data modeling an ETL?

No, data modeling and ETL are distinct but complementary processes. Data modeling involves designing the structure of data—defining how data is stored, related, and accessed in databases. It’s typically a planning phase that shapes how data will be used and organized. ETL (Extract, Transform, Load), on the other hand, is the process of moving and preparing data for use based on the model.

In data engineering, modeling comes before or alongside ETL implementation. Data engineering consultants often design models that guide how ETL pipelines should process, transform, and store data efficiently in analytics platforms or data warehouses.