As a Senior Snowflake Developer & Senior Azure Data Engineer with over 6 years of experience in the data engineering field, I specialize in architecting, designing, and implementing scalable data solutions on the Azure platform. I am passionate about transforming complex datasets into actionable insights that drive business success. My expertise spans across cloud-based data storage, processing, transformation, and advanced analytics, utilizing tools such as Azure Data Factory, Azure Databricks, Snowflake, Azure Synapse Analytics, Azure DevOps, PySpark, Python, SQL, DBT and Power BI.Throughout my career, I have led cross-functional teams and collaborated closely with stakeholders to build end-to-end data pipelines that ensure data quality, security, and compliance. My hands-on experience with data integration from various sources—such as on-premise SQL Server, Oracle database, MySQL, PostgreSQL, Azure SQL, Azure Cosmos DB, API's and flat files—combined with a strong background in DevOps, enables me to deliver high-quality solutions with efficient CI/CD processes and automation.Key Highlights:Proven expertise in designing and deploying data architectures on Azure, including data lake design, ETL workflows, and real-time data processing.Skilled in optimizing Spark jobs and performance tuning, maximizing efficiency for high-volume data transformations.In-depth knowledge of data governance and security best practices using Azure Key Vault, Azure Active Directory, and role-based access control.Experienced in leveraging DevOps for CI/CD, enhancing development workflows, and streamlining deployments.I am always eager to explore new data technologies, share insights with the data community, and support teams in unlocking the full potential of data for strategic decision-making. Let’s connect if you’re looking to build a robust data foundation on Azure or discuss data engineering and cloud solutions!