Data Orchestration: Create and schedule complex data processing tasks, ensuring efficient and automated data movement and transformation.
Data Integration & Transformation: Connect to various data sources (on-premises, cloud, files) and perform transformations to prepare data for analytical purposes.
Develop ETL/ELT Pipelines: Design, build, and implement data integration workflows using Azure Data Factory's pipelines and dataflows.
