Data Pipeline Development: Designed and implemented ETL/ELT pipelines using Azure Data Factory for seamless data integration from various sources into Azure Data Lake Storage.Data Transformation: Leveraged Azure Databricks and Spark to perform complex data transformations, facilitating efficient data processing and analytics.Data Warehousing: Built and managed data warehousing solutions using Azure Synapse Analytics, optimizing data storage and retrieval for business intelligence purposes.Database Management: Administered and optimized Azure SQL Database instances to ensure high performance, security, and availability.Data Integration: Integrated data from on-premises and cloud sources using Azure Data Factory’s linked services and integration runtimes.Data Quality and Governance: Implemented data quality checks and governance policies to maintain data integrity and compliance with industry standards.Performance Optimization: Conducted performance tuning and optimization of data workflows and SQL queries to enhance system efficiency.Stakeholder Collaboration: Collaborated with data analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable insights.DevOps and CI/CD: Employed DevOps practices, including the use of continuous integration and continuous deployment (CI/CD) pipelines via Azure DevOps, to streamline data engineering workflows.Documentation: Maintained comprehensive documentation of data workflows, pipeline configurations, and data models to ensure knowledge sharing and continuity.System Monitoring and Troubleshooting: Monitored data pipelines and systems using Azure Monitor and Log Analytics, quickly identifying and resolving issues to ensure data reliability.

Data Pipeline Development: Designed, developed, and maintained ETL/ELT data pipelines using Azure Data Factory, ensuring seamless data integration from various sources into Azure Data Lake Storage.

Design, develop, and implement data solutions using Azure data services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.Create data pipelines for ETL processes to ingest, transform, and store data from various sources.Manage and optimize databases including Azure SQL Database, Cosmos DB, and data lakes.Ensure data integrity, security, and performance by implementing best practices in database management and optimization.Integrate data from different sources, ensuring data consistency and quality.Implement data governance policies to ensure data compliance, privacy, and security.Use Azure tools to enforce role-based access control, data masking, and encryption.