Ashish K
Backend / Full Stack Engineer | Java, Spring Boot, AWS, Kafka | Healthcare & Enterprise Systems | Scalable Cloud APIs | 6+ Years
- Role
- Back End Engineer at Cardinal Health
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Ashish K
Senior Backend and Full Stack Engineer with 6+ years of experience building scalable, secure, cloud-native systems across healthcare and enterprise technology environments.I specialize in designing Java & Spring Boot microservices, event-driven architectures (Kafka, RabbitMQ), and AWS-based data platforms that handle high-volume, regulated data with strong reliability and performance guarantees.At Cardinal Health, I’ve contributed to platforms processing $80M+ in annual healthcare claim signals, improving API throughput, reducing processing latency, and deploying AI/ML inference services that increased anomaly detection accuracy while cutting manual review effort.I bring strong experience across:Backend systems (Java, Spring Boot, Python, REST APIs)Cloud & DevOps (AWS, Docker, Kubernetes, CI/CD)Data engineering & streaming (Kafka, ETL, PostgreSQL)Full-stack development (React, TypeScript, Next.js)Compliance-driven systems (HIPAA, secure data workflows)I thrive in fast-paced US product teams, working closely with engineering, data, and business stakeholders to deliver production-ready, high-impact solutions. Currently open to: Backend Engineer / Software Engineer / Full Stack Engineer roles in the US market (On-site / Hybrid / Remote).
Experience
Back End Engineer
Jan 2024 — Present · NJ, US
Architected Java & Spring Boot microservices supporting healthcare supply chain and payer analytics platforms, processing $80M+ annualized claim data.Improved API throughput by 17% through performance tuning, concurrency optimization, and efficient service design.Built event-driven data pipelines using Apache Kafka, increasing near-real-time data availability by 22%.Deployed AI/ML inference services on AWS SageMaker, improving anomaly detection accuracy by 15% and reducing manual claims review.Designed secure PostgreSQL persistence layers, optimizing schemas and queries to cut processing latency by 20%.Developed cloud-native ETL pipelines using AWS Glue, Lambda, and S3, enabling $150M+ medical spend reporting.Implemented HIPAA-compliant security controls (encryption, RBAC) and maintained 99.9% production uptime.
Education
New Jersey Institute of Technology
Master's degree, Computer Science
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