Building robust Azure Data Factory (ADF) pipelines is crucial for efficient and reliable data workflows. This guide explores essential practices such as implementing reusability, retry mechanisms, error alerting, and avoiding unnecessary loops. By leveraging tools like Logic Apps for notifications and incorporating version control and CI/CD, you can create scalable, maintainable, and cost-effective pipelines that minimize downtime and deliver consistent results.