Designed and developed event-driven ingestion pipelines using Apache Kafka and AWS S3 to migrate 4.5+ million subscriber accounts to a unified cloud-native architecture with zero data loss. Built scalable Java and Spring Boot microservices deployed on AWS EKS, integrated with the Amdocs Migration Engine for subscriber provisioning workflows. Implemented Spring Data JPA/Hibernate persistence with optimized mappings and queries. Parallelized high-volume migration batches using Java concurrency utilities and applied Java 8 streams/lambdas. Implemented retry and dead-letter handling for transaction fallout, and delivered automated REST/GraphQL API validation across environments. Established telemetry, dashboards, and alerting in Splunk and Grafana to sustain 99.99% availability. Developed CI/CD pipelines for containerized Docker workloads deployed to Kubernetes and authored unit/integration tests with JUnit 5 and Mockito.

Application Engineer (Core Lending & Financial Systems) at Discover Financial Services

January 1, 2023 - December 31, 2023

Led migration of cash advance applications from IBM WebSphere and Pivotal Cloud Foundry to a Red Hat OpenShift microservices architecture. Engineered Java and Spring Boot REST APIs for core lending and cash advance workflows and implemented secure endpoints with Spring Security, OAuth 2.0, and JWT role-based authorization. Built compliant automated test suites using BDD Spock, JUnit, and Mockito. Executed MariaDB to PostgreSQL migration with automated credential rotation and zero-downtime data validation. Re-architected transaction notifications from Kafka queues to Kafka Streams for real-time processing. Rebuilt React-based cash advance screens with validation and accessibility improvements. Added observability using Datadog, Kibana, and Spring Micrometer; coordinated HA/load balancing with F5 LTM and established disaster recovery.

Software Engineer (Cloud BSS & Microservices) at Amdocs Development Center India - Engagement: T-Mobile USAA

April 1, 2021 - August 31, 2022

Contributed to AmdocsONE cloud products (DigitalONE, MarketONE, CatalogONE, DataONE, iPaaS, Real-Time Billing) built with microservices and event-driven architectures. Developed and optimized REST and SOAP APIs using Java with Oracle SQL/PLSQL and Couchbase N1QL; implemented Spring Data JPA and Hibernate persistence across Oracle and Couchbase. Tuned and stabilized Kubernetes-deployed microservices and resolved production issues including JVM OOM via heap profiling and GC tuning. Optimized Couchbase with indexes and refactored slow Oracle PL/SQL blocks. Modeled workflows using Camunda BPM and investigated distributed issues via Kubernetes CLI, Splunk/Kibana/Elasticsearch, Couchbase, and Kafka.

Associate Software Engineer (Healthcare Interoperability Systems) at Hallmark Health Care Solutions - Engagement: Inspira Health Network

August 1, 2018 - March 31, 2021

Developed Spring Boot backend REST APIs mapped to HL7 FHIR R4 standards supporting 10K+ daily patient portal queries. Built Angular scheduling and records portals consuming FHIR-backed endpoints with client-side filtering, sorting, and pagination. Containerized an appointment module using Docker and configured Kubernetes autoscaling for peak traffic. Wrote SQL scripts to translate legacy EHR fields into standardized FHIR JSON payloads. Migrated synchronous calls to an event-driven Kafka architecture to scale lab/testing ingestion from 5,000 to 50,000 records daily with zero data loss. Implemented scheduled Spring Batch jobs and AWS S3 storage for clinical harmonization and regulatory exports; optimized read-heavy traffic using RDS read replicas and resolved database lock contention.

Project/Engineering Roles (Earlier experience) at Engagement: Sprint Nextel Corporation USA - Project: Streaming Conversions

March 31, 2018 - March 31, 2018

Developed and optimized automated batch processing workflows in C/C++ and Oracle Tuxedo on Linux/Unix. Profiled daemons to trace and patch memory leaks causing Tuxedo crashes; tuned Tuxedo message queue parameters and Linux kernel shared memory limits to eliminate IPC timeouts at peak billing load. Authored shell scripts to validate environment variables and database connectivity before deployment triggers. Stabilized production and non-production billing environments via deployment/runtime configuration tuning and maintained technical documentation in Confluence with version control in Git.