• Over 5+ years of IT experience and 3+ years as Azure Data Engineer experience in developing, analyzing, designing, and implementing Data Engineering and Analytics solutions by Azure Data Factory, Data bricks, Azure Synapse, Azure Data Lake, Azure SQL, and Power BI• Expertise in Creating robust data pipeline encompassing a variety of integrated systems, including Azure SQL Database, Azure Synapse, Azure Databricks, and on-premises compute resources• Experienced in designing and implementing scalable data warehouses and data lakes, optimizing storage and retrieval mechanisms, and ensuring data integrity and security standards to meet or exceed 80% compliance rate• Proficient in creating interactive and insightful data visualizations using Power BI and Tableau, achieving a rating of 80% or above in stakeholder satisfaction to make data-driven decisions• Skilled in building complex data pipelines using Azure Data Factory and other ETL tools to efficiently move, transform, and integrate data from diverse sources into target destinations• Adept at implementing data governance strategies and achieved proficiency of 75% with best practices, ensuring data quality, compliance, and security throughout the data lifecycle• Well-versed in utilizing Azure Data Lake Storage and Azure Blob Storage for secure, scalable, and cost-effective data storage solutions to effectively manage storing, managing, and accessing data across various applications and analytics workloads• Leveraged Azure Synapse to create high-performance data warehouses that enable complex analytical queries and skilled in utilizing Azure Stream Analytics for real-time data processing and Azure HDInsight for big data processing, ensuring efficient and scalable data analytics capabilities• Good in crafting complex SQL queries to extract, transform, and load data, ensuring data quality and integrity and experienced in leveraging Python and PySpark for data cleansing, transformation, and aggregation, facilitating the preparation of datasets for analysis and reporting• Familiarity with Snowflake, a cloud-based data warehousing platform, and expertise in designing and optimizing Snowflake data warehouses• Effective teamwork and project management skills, utilizing tools like Jira and Confluence to collaborate with cross-functional teams, ensuring project success