Azure Data Factory Useful for orchestration and data integration. Azure Data Lake Useful for scalable storage of different types of data. Databricks and Spark Useful for large-scale processing. Data Quality Data engineering isn't only about moving data. Engineers also need to consider: • Accuracy • Completeness • Consistency • Timeliness • Duplicate records Security ... https://qualitythought.in/azure-data-engineer-training/