Aditya Sahithi Gunda
Data Analyst @ GWT | SQL, Python, R | Visualization & ETL | Healthcare Analytics | ETL & Cloud Data (AWS, Azure)
- Role
- Data Analyst at Gainwell Technologies
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Aditya Sahithi Gunda
Data Analyst with 3+ years of experience delivering data-driven solutions across healthcare and financial services environments. I specialize in transforming large, complex datasets into actionable insights using Python, SQL, R, and modern BI tools, supporting both operational and strategic decision-making.My core strengths include data analysis, visualization, predictive modeling, and ETL pipeline development. I have hands-on experience performing EDA, statistical analysis, hypothesis testing, forecasting, and machine learning, and presenting results through Power BI and Tableau dashboards designed for technical and non-technical stakeholders. I have built and optimized cloud-based data pipelines using AWS and Azure, working with relational and NoSQL databases such as SQL Server, PostgreSQL, MySQL, Oracle, and MongoDB. My experience includes developing scalable ETL workflows with SSIS, Alteryx, Snowflake, DBT, Azure Data Factory, and Microsoft Fabric, with a strong focus on data quality, performance, and reliability.In regulated environments, I have supported analytics initiatives aligned with HIPAA, GDPR, SOX, and IFRS, ensuring data governance, audit readiness, and secure data handling. I am known for bridging the gap between technical analytics and business needs, delivering insights that reduce processing time, improve efficiency, and enable confident decision-making.
Experience
Data Analyst
Feb 2026 — Present · US
Developed and executed SQL queries in Databricks to analyze healthcare datasets, including claims and eligibility data. • Utilized joins, aggregations, and filtering techniques to extract and summarize data for internal reporting needs. • Reviewed query outputs to ensure alignment with business requirements, maintaining high data quality. • Documented query logic and organized SQL scripts for ongoing analysis, enhancing team efficiency.
Education
University of North Carolina at Charlotte
Master's degree, Computer Science
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