Design and develop ETL processes using Azure Data Factory to load data into Azure Data Lake Storage and Azure SQL. Create Databricks notebooks for complex data transformations and processing. Implement data integration solutions with Linked Services, Datasets, and Pipelines in Azure Data Factory. Automate ETL processes with scheduled triggers, optimize workflows for performance, and ensure data security using Azure Key Vault. Collaborate with data professionals to meet data requirements, maintain documentation, and troubleshoot ETL issues. Stay updated with Azure services and ETL best practices.
Design and develop ETL processes using Azure Data Factory to extract, transform, and load data from various sources into Azure Data Lake Storage and Azure SQL.
Develop Databricks notebooks to perform complex data transformations and processing.
Implement data integration solutions using Linked Services, Datasets, and Pipelines in Azure Data Factory.
Create and schedule triggers to automate the execution of ETL processes.
Optimize ETL workflows for performance and scalability, ensuring efficient data processing.
Work with dataframes, perform transformations, and handle data ingestion using Azure Databricks.
Ensure data security and compliance by leveraging Azure Key Vault for credential management.
Collaborate with data architects, data scientists, and business analysts to understand data requirements and translate them into technical solutions.
Develop and maintain documentation for ETL processes and data pipelines.
Troubleshoot and resolve issues related to ETL processes and data pipelines.
Stay updated with the latest developments in Azure services and ETL best practices.
Azure Data Factory, Azure Data Lake Storage, Azure SQL, Databricks notebooks, Linked Services, Datasets, Pipelines, Azure Key Vault, Dataframes, ETL workflows optimization.