Develop and manage ETL workflows using Azure Data Factory (ADF). Design and implement data pipelines using PySpark on Azure Databricks. Work with Azure Synapse Analytics, Azure Data Lake, and Azure Blob Storage for data ingestion and transformation. Optimize Spark jobs for performance and scalability in Databricks. Automate data workflows and implement error handling & monitoring in ADF. Collaborate with data engineers, analysts, and business teams to understand data requirements. Implement data governance, security, and compliance best practices in Azure. Debug and troubleshoot PySpark scripts and ADF pipeline failures. 4+ years of experience in ETL development with Azure Data Factory (ADF). Hands-on experience with Azure Databricks and PySpark for big data processing. Strong knowledge of Azure services Proficiency in Python and PySpark for data transformation and processing. Experience with CI/CD pipelines for deploying ADF pipelines and Databricks notebooks. Strong expertise in SQL for data extraction and transformations. Knowledge of performance tuning in Spark and cost optimization on Azure.