Nikhil Reddy

Designed and developed scalable, cloud-native enterprise applications using Java 17, Spring Boot, WebFlux, and Spring Cloud (Config, Eureka, Gateway). Built reactive microservices with CQRS and Event Sourcing for RxI inventory workflows across distributed modules, ensuring auditability and fault-tolerant data storage. Implemented Redis caching and pub/sub for inventory lookups and real-time operations, reducing latency for clinical queries. Exposed RESTful APIs and GraphQL services consumed by Angular 17 and React dashboards. Created Avro schemas and Kafka Schema Registry integrations to maintain backward-compatible messaging. Built PySpark and Spring Batch ETL pipelines to process RxI data into analytical databases on GCP. Implemented centralized logging, security, and auditing with Spring AOP and Spring Security (OAuth 2.0, JWT, PKCE, Mutual TLS). Deployed on Google Cloud Platform (GKE) with autoscaling and self-healing, using Terraform and Ansible for infrastructure. Enhanced observ

Designed and developed scalable, cloud-native enterprise applications using Java 17, Spring Boot, WebFlux, and Spring Cloud. Delivered secure, modular microservices with CQRS and Event Sourcing for RxI inventory workflows, and implemented Redis-based caching and pub/sub for low-latency lookups. Built RESTful APIs and GraphQL schemas for real-time clinical and administrative operations. Integrated with Kafka, Avro, and Schema Registry, and deployed on GKE with Terraform-driven infrastructure. Led UI work in Angular 17 and React dashboards, ensuring WCAG-compliant accessibility and responsive UX. Implemented end-to-end security with OAuth 2.0, JWT, PKCE, and Mutual TLS; established CI/CD, monitoring, chaos testing, and thorough observability.

Designed and developed scalable, cloud-native enterprise applications using Java 17, Spring Boot, and WebFlux with a strong focus on reactive microservices and asynchronous processing. Implemented RESTful APIs and GraphQL services integrated with Angular and React dashboards to support real-time clinical operations. Managed Kafka-based event streaming pipelines with schema validation to ensure data integrity. Developed ETL workflows combining Python, PySpark, and Spring Batch for large-scale data processing. Secured APIs using OAuth 2.0, JWT, and PKCE in compliance with PCI-DSS standards. Automated CI/CD pipelines and cloud infrastructure provisioning on GCP using Docker, Kubernetes, Terraform, and Ansible. Enabled observability through Prometheus, Grafana, and Google Cloud Monitoring, performing performance tuning to optimize JVM efficiency. Actively participated in Agile SAFe ceremonies and collaborated in cross-functional teams for feature delivery.