Migrating legacy ETL workloads from Informatica to Airflow using DAG Factory offers significant benefits, including flexibility, scalability, and robust monitoring. By leveraging YAML configurations to define DAGs, organizations can streamline the process of converting legacy workflows without needing extensive custom code. This approach enables data teams to efficiently adopt Airflow's modern orchestration capabilities, simplifying the journey to a more adaptable and observable ETL environment. With tools like DAG Factory, organizations can dynamically create Airflow DAGs from configuration files, automating up to 90% of the process, and ultimately position themselves to handle future data workloads with confidence and efficiency.