Use Azure Data Factory to orchestrate the data flow and use its data quality features to identify and handle data quality issues.

Use Azure Databricks to read the data from the sources, perform data quality checks using its built-in functions, and clean the data before writing it to the Delta Lake.

Use Azure Stream Analytics to process the data in real-time and handle data quality issues using its built-in functions.

Use Azure Functions to process the data in small batches and handle data quality issues using custom code.