Aakanksha Gummalla

About Aakanksha Gummalla

Dynamic and results-driven Data Engineer with over 10 years of comprehensive experience in data engineering, modeling, and analysis across diverse industries. I excel at designing and implementing innovative data pipelines and workflows using advanced Big Data technologies, including Hadoop, Spark, and Kafka. My expertise in creating conceptual, logical, and physical data models, alongside my solid grasp of ETL processes and data migration strategies, ensures seamless data integration and transformation to meet business needs. Additionally, I have utilized ThoughtSpot to empower organizations with self-service analytics, enabling business users to uncover actionable insights and drive data-driven decision-making. A strong advocate for agile methodologies, I thrive in fast-paced environments where collaboration and adaptability are key. My roles have involved leading cross-functional teams, driving continuous integration, and employing test-driven development practices to enhance data governance and quality. I am skilled in both relational and NoSQL databases, enabling efficient data storage solutions and ensuring optimal data performance through robust data modeling techniques. With a proven track record in cloud migrations, data cleansing, and statistical analysis, I have successfully executed high-impact projects that deliver actionable insights and drive business growth. I am passionate about harnessing data to solve complex challenges, utilizing tools like Tableau and Power BI to create intuitive visualizations that facilitate data-driven decision-making. As a dedicated lifelong learner, I continuously adapt to evolving technologies and embrace challenges as opportunities for growth. My strong sense of responsibility and commitment to excellence have consistently positioned me as a key contributor in every organization I have been a part of.

Experience

1. Data Analyst

   CVS Health

   Apr 2024 — Present · Tempe, AZ, US

   Designed and deployed 30+ interactive Power BI dashboards using DAX and Power Query to visualize patient claims, healthcare utilization trends, and cost drivers enabling strategic insights for clinicians and business leaders• Developed end-to-end ETL pipelines in Azure Data Factory, automating data ingestion from SQL Server, APIs, SharePoint, and Salesforce into Azure Data Lake and Snowflake reducing manual workload by 80%.• Built robust SQL views and Python-based data cleansing routines, significantly enhancing report performance and data accuracy by 70%.• Implemented row-level security (RLS) and adopted CI/CD workflows using Azure DevOps and GitHub to ensure secure and scalable reporting.• Delivered ad-hoc analytics by writing complex SQL queries to support healthcare quality improvement, compliance, and executive reporting initiatives.• Partnered with data engineering teams to design Snowflake data models, improving long-term scalability and enabling real-time analytics across the enterprise.