Sai Ramavarapu
Senior Data Engineer @CVS Health
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WORK HISTORY
Senior Data Engineer @CVS Health
US
At CVS Health, I led the design and optimization of end-to-end FHIR-based data pipelines using AWS Glue, Lambda, Kinesis, and EMR to deliver real-time healthcare analytics and machine learning capabilities. I built AI-driven solutions that enhanced clinical insights and operational decision-making, improving system performance by 30% while ensuring HIPAA-compliant, secure, and scalable data management across enterprise systems.I architected high-performance data processing frameworks leveraging Spark, Kafka, and DBT to handle large-scale patient, claims, and clinical data. By automating CI/CD workflows with AWS CodePipeline and integrating Informatica for ETL orchestration, I improved deployment efficiency by 40%. I also optimized MongoDB and Elasticsearch for faster query execution and implemented reusable Python frameworks for data validation, anomaly detection, and metadata governance.In addition to engineering efforts, I enhanced real-time reporting through Amazon QuickSight and Redshift Streaming, empowering data-driven decisions across clinical and business domains. I deployed Kubernetes-based microservices for scalable processing, enforced IAM and encryption policies to maintain full HIPAA compliance, and championed Agile/Scrum practices to align technical delivery with evolving healthcare analytics needs.
ABOUT SAI RAMAVARAPU
Data isn\'t just numbers—it\'s the fuel that drives smarter decisions. As a Senior Data Engineer with over a decade of experience, I specialize in designing scalable, high-performance data solutions for Fortune 500s and fast-growing startups. My expertise spans cloud platforms (AWS, Azure, GCP), big data processing (Apache Spark, Kafka), and programming (Python, SQL, Scala)—ensuring no dataset is too large, and no query is too complex. I don’t just build data pipelines—I engineer efficiency. From optimizing workflows to cut costs by 25% to boosting performance by 30%, my work is about creating data ecosystems that drive real business impact. At BestBuy, I led initiatives that improved data accessibility by 30% while reducing operational overhead. Whether it\'s real-time data streaming, scalable architectures, or enterprise-grade security frameworks, I’ve tackled it all. I thrive on solving complex data challenges, leading teams of 10+ engineers, and transforming raw data into strategic business assets. If you\'re looking to build cutting-edge data solutions or want to chat about the latest trends in big data, AI-driven analytics, or cloud data engineering, let’s connect!
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