Azure Data Factory is one of the most powerful tools for building ETL pipelines in the cloud. In this post, we’ll walk through the entire process of designing and automating data workflows. You’ll learn how to create pipelines, schedule activities, and integrate with CI/CD for faster and safer deployments.

We’ll also cover best practices for handling large datasets, managing data movement between multiple sources, and implementing transformations at scale. By the end of this article, you’ll know how to build repeatable, automated pipelines that save time and reduce human error—making your data strategy more efficient and reliable.