As a Data Engineer at Microsoft, I design and develop scalable and robust data pipelines and platforms, using Kusto Query Language (KQL), Azure Data Factory, and other cloud-based technologies. I work with cross-functional teams to deliver data-driven solutions that enhance the performance and user experience of various Microsoft products and services, such as Bing, Outlook, and Teams. I also contribute to open-source projects and communities, sharing my knowledge and expertise in data engineering and data science.I have over 6 years of experience in data engineering, business intelligence, and big data, working for leading companies such as Walmart and Cardinal Health. I have successfully implemented end-to-end data solutions, ensuring data accuracy, integrity, and compliance with regulatory standards. I have also leveraged my technical and analytical skills to optimize data processing tasks, drive actionable insights, and support organizational growth. I hold a Master's degree in Computer Science from Fitchburg State University, and I am proficient in various data-related languages, tools, and frameworks. I am passionate about solving complex data problems and creating value through data.