What do you mean by automating data workflows, and what tools or technologies have you used for this purpose?
💡 Model Answer
Automating data workflows means orchestrating the extraction, transformation, and loading (ETL) of data across systems without manual intervention. It involves scheduling jobs, handling dependencies, monitoring execution, and managing failures. I have used Apache Airflow for complex DAGs, Prefect for dynamic workflows, and dbt for transformation logic. For simple pipelines, I’ve leveraged Azure Data Factory or AWS Step Functions. These tools provide retry policies, alerting, and logging, enabling reliable, repeatable data processing at scale.
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