Experienced IT professional with 2.5 years of industry experience targeting a Data Engineer role. Possesses expertise in SQL, ETL processes, cloud platforms, and data integration. Skilled in building efficient and scalable data pipelines to drive data-driven decision-making. Proficient in SQL, AWS Glue, Azure Data Factory (ADF), and ETL tools. Has hands-on experience in data warehousing, data manipulation, and data pipeline optimization for enterprise applications. Expertise in Azure DevOps and database migrations, successfully upgrading SQL environments from SQL 2012 to SQL 2019 & 2022 and enhancing database pathways for reporting and analytics. Strong knowledge of data modeling, data security, and data quality assurance, ensuring consistency and accuracy in enterprise-level data management systems. Proven skills in collaborating directly with stakeholders and customers, gathering requirements, troubleshooting issues, and optimizing reporting systems for improved decision-making. Hands-on experience in backend development with Java, C#, .NET, and Spring Framework, leveraging programming expertise to integrate data solutions with existing applications. Skilled in dashboard enhancements and report generation using Azure, Oracle, and SQL Server for real-time data visualization and actionable insights. Experienced in automating ETL workflows using Apache Airflow and orchestrating data pipelines for efficiency. Worked on data lake solutions using AWS S3 and Azure Data Lake for scalable storage and analytics. Familiarity with containerization and CI/CD tools like Docker and Azure DevOps for deploying data applications. Competent at leading and managing data-driven projects with a focus on scalability, automation, and performance optimization for enterprise solutions.