Hello @kazinahian , Azure Databricks offers several options for building ETL (Extract, Transform, Load) data pipelines, ranging from low-code to more code-centric approaches:

Delta Live Tables

Delta Live Tables (DLT) is a declarative framework for building reliable, maintainable, and scalable data pipelines on Azure Databrick. It offers:

• A simplified ETL development process
• Automated operational complexity management
• Built-in data quality and error handling

DLT allows data engineers to focus on delivering high-quality data rather than managing pipeline infrastructure.

Databricks Workflows

For orchestrating ETL pipelines, Databricks Workflows provides:

• Easy definition, management, and monitoring of multi-task workflows
• Support for various task types
• Deep observability capabilities
• High reliability

This tool empowers data teams to automate and orchestrate any pipeline efficiently

There are other low-code options that are available to integrate with Databricks, like Azure Data Factory or other third-party ETL tools that can help you to easily create ETL pipelines with Databricks