
A highly motivated, action-oriented, and energetic IT student with three years of experience in SQL Server development. A quick learner and a team player with good communication skills who is also able to work independently and with little direction. Looking for an entry-level position or internship that allows me to grow my current skills and gain new proficiencies.
I work extensively with SSMS, SQL, SSRS, Excel, and Power BI to build and maintain reports that support key business functions. I partner closely with various departments—including finance, marketing, and sales—to understand reporting needs and deliver actionable insights through dashboards and custom reports. I regularly write and optimize complex SQL queries to ensure data accuracy and performance, while also using visualization tools to present findings clearly to both technical and non-technical stakeholders. My work directly supports data-driven decision-making across the organization.
Was responsible for developing and optimizing SQL queries to support data retrieval and reporting needs across the organization. I played a key role in ETL processes, transforming and integrating data from multiple sources to ensure data accuracy and accessibility. I frequently used Excel for in-depth data analysis and building reports that guided business decisions. Additionally, I contributed to the creation and maintenance of SSIS packages to streamline data workflows and improve system efficiency.
Worked as a Data Analyst where I led data migration efforts from Access to SQL Server using SSIS and created pipelines to move data across platforms including Oracle, SQL Server, and Access. I developed reports by integrating data from multiple sources and collaborated with cross-functional teams—finance, operations, supply chain, and engineering—to deliver real-time analytics. I utilized tools like SSMS and 3T for data management, and gained hands-on experience with Power BI, Python, and basic Linux operations. I also worked with both relational (SQL Server, Oracle) and non-relational (MongoDB) databases, applied advanced SQL techniques, and followed Agile and SDLC methodologies to support high-quality data solutions.