As an AWS Data Engineer, I specialize in leveraging a wide array of AWS services, including AWS Glue, Lambda, CloudWatch, S3, DynamoDB, and more, to design and implement scalable, efficient data solutions. With extensive experience in building ETL pipelines, I have significantly minimized manual intervention by automating data workflows and improving overall operational efficiency.In addition to my expertise in ETL development, I have worked on building several APIs using .NET, which were integrated with AWS services to track and manage data effectively. I am also proficient with a variety of data management and debugging tools such as Alteryx, SoapUI, Postman, and TraceMonitor, enabling me to quickly identify issues and ensure smooth data processes.Adept in Python and C# (.NET Framework), I have a strong track record of debugging complex code and collaborating with cross-functional teams to resolve high-priority defects across multiple releases. I have also worked to optimize pre-existing code, enhancing application performance and ensuring long-term scalability.I am passionate about continuous learning and always seeking innovative ways to improve data infrastructure, application efficiency, and system reliability.