Available to hire
I am writing to express my interest in the Data Engineer position. With over four years of
experience designing and modernizing scalable data platforms across healthcare and financial
domains, I bring strong expertise in building reliable, cloud-native data pipelines that support
analytics, reporting, and AI-driven decision-making.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Fluent
Work Experience
Software Engineer at CVS Health
September 1, 2024 - PresentModernized claims-processing platforms by engineering modular Spring Boot services and workflows, reducing deployment cycles by 45% and improving reliability for 150K+ clinical transactions daily across core adjudication systems. Engineered asynchronous clinical-event pipelines using Apache Kafka to enable real-time streaming, cutting interservice latency by 40% and increasing throughput for 120K+ diagnostic events across care-coordination modules. Optimized high-volume healthcare analytics by refining PostgreSQL queries and stored procedures, boosting reporting speed by 50% and strengthening data consistency for 180K+ concurrent users. Secured patient-facing healthcare APIs with Spring Security, OAuth2, and JWT, ensuring HIPAA-aligned access governance and reducing unauthorized access attempts by 32% across telehealth, pharmacy, and care-management channels. Integrated ML-based anomaly-detection into Java microservices, enabling proactive risk identification and tighter clinical decis
Software Engineer at Cognizant
May 1, 2021 - November 1, 2023Architected a financial-risk compliance platform using Python, FastAPI, and AWS Lambda, enabling serverless ingestion of 2.7M+ transactions and strengthening fraud-detection reliability across multi-portfolio environments. Designed real-time regulatory intelligence dashboards with React and Plotly, visualizing transaction flows, anomaly spikes, and exposure trends to support faster audit reviews and risk-control assessments. Developed performant data-processing pipelines using NumPy, standardizing 1.1M+ heterogeneous financial records to elevate reporting precision and improve early-stage fraud-signal identification. Containerized distributed analytics services with Docker and orchestrated workloads on Kubernetes using AWS EKS, ensuring fault-tolerant scaling for 13 production-grade financial workloads. Automated cloud-infrastructure provisioning through Terraform and AWS CloudFormation, reducing environment setup time by 72 hours and enforcing consistent, audit-compliant configuration
Education
Master of Science in Computer Science at University of Bridgeport
January 11, 2030 - January 13, 2026Bachelor of Technology in Electronics & Communication at GNITC, Hyderabad, India
January 11, 2030 - January 13, 2026Qualifications
Industry Experience
Healthcare, Financial Services, Software & Internet, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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