Manikanta Reddy
Data Engineer @CVS Health
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WORK HISTORY
Data Engineer @CVS Health
IL, US
At CVS Health, I architected and scaled cloud-based data pipelines using AWS (S3, Redshift), Snowflake, and Spark to process 10+ TB of healthcare data—driving HIPAA-compliant analytics and real-time reporting. Collaborated with engineering, product, and data science teams in agile sprints to optimize care insights and reduce patient readmission rates by 10%. Automated infrastructure with Terraform, boosting deployment speed by 50% Designed ETL pipelines with NiFi, Kafka, SSIS, and Pentaho—improving data processing efficiency by 30% Deployed ML models (85% accuracy) and built predictive dashboards in Power BI/Tableau to monitor patient KPIs Integrated EHR data using HL7 & FHIR for seamless interoperability Enhanced data reliability with validation frameworks like Great Expectations and DeequThis role deepened my expertise in distributed systems, cloud automation, and healthcare analytics.
EDUCATION
University of Illinois Springfield
Master's degree
Malla Reddy Engineering College
Bachelor of Engineering - BE
ABOUT MANIKANTA REDDY
I hold a Master\'s degree in Computer Systems Analysis from the University of Illinois Springfield and a Bachelor\'s in Electrical, Electronics, and Communications Engineering from Malla Reddy Engineering College. My academic journey has equipped me with a strong foundation in both technical and analytical skills, enabling me to excel in data-driven environments. With valuable experience as a Data Engineer at CVS Health and Accenture, I have successfully contributed to projects that leverage data to enhance decision-making and drive operational efficiency. My expertise spans designing and implementing robust data pipelines, optimizing ETL processes, and ensuring data quality and integrity across various platforms. I am passionate about transforming complex data into actionable insights and continuously seek opportunities to innovate and improve data workflows. Let’s connect to explore how we can collaborate to harness the power of data.
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