Senior Full-Stack Engineer at TeamLogic IT

● Architected and delivered a multi-tenant SaaS analytics platform using Next.js, Node.js, and MongoDB, supporting 15,000+ concurrent users with zero downtime. ● Migrated legacy architecture into a microservice-based ecosystem deployed on AWS EKS with Helm, achieving independent scaling and reducing release failures by 90%. ● Designed a GraphQL gateway to unify distributed services, reducing over-fetching by 40% and simplifying frontend integration. ● Implemented event-driven architecture using RabbitMQ and Apache Kafka, enabling asynchronous data pipelines and real-time dashboard updates. ● Introduced CQRS and caching strategies with Redis, improving API response time by 45% on high-load endpoints. ● Enhanced frontend rendering performance using Next.js SSR and AWS CloudFront caching, reducing page load time by 20%. ● Developed reusable UI modules and contributed to a shared React component library for rapid feature delivery across multiple projects. ● Engineered Terraform IaC modules to automate provisioning and teardown across staging and production environments. ● Optimized cloud resources and implemented cost-aware autoscaling in AWS (EKS + RDS), cutting cloud expenses by 30%. ● Established CI/CD pipelines with GitHub Actions and Docker, reducing deployment time from 2 hours to under 20 minutes. ● Containerized all backend services using Docker and implemented Kubernetes auto-healing and rolling updates for seamless deployments. ● Deployed monitoring and observability stack using Grafana, Prometheus, and CloudWatch to track latency, throughput, and health metrics. ● Integrated chaos-testing scenarios via custom Kubernetes jobs to validate resilience and recovery SLAs. ● Designed load-testing frameworks to simulate high concurrency scenarios (15k+ users), achieving consistent latency under 200ms. ● Refactored core data pipelines for MongoDB sharding and optimized indexes, increasing query performance by 35%. ● Introduced edge caching strategies at CDN level, improving global delivery times across multiple regions.

Senior Backend Developer (.NET Core & Java) at Integrity Networks, Inc.

● Engineered and maintained enterprise-grade backend systems using .NET Core and Spring Boot, supporting millions of data transactions daily across marketing and analytics platforms. ● Led migration from monolithic Java EE architecture to distributed microservices, achieving independent scaling and reducing release complexity by 70%. ● Designed domain-driven modules for marketing automation, event tracking, and reporting, improving overall system throughput by 35%. ● Implemented Spring Cloud Config, Spring Data, and Spring Security to enable secure multi-environment configurations and service discovery. ● Developed real-time data ingestion pipelines using Apache Camel and Kafka Streams, reducing data latency from minutes to seconds. ● Created RESTful APIs and gRPC endpoints for cross-system communication, ensuring backward compatibility and smooth client integration. ● Built reusable backend libraries shared across multiple business units, improving developer efficiency by 20%. ● Deployed microservices on Azure Kubernetes Service (AKS) with Helm charts for consistent, version- controlled deployments across environments. ● Configured Jenkins CI/CD pipelines integrated with Azure DevOps, automating build, test, and deployment workflows - reducing manual releases from hours to minutes. ● Implemented containerization with Docker for uniform runtime environments, reducing environment drift issues during development and QA. ● Applied infrastructure-as-code (IaC) principles using Terraform and Azure Resource Manager (ARM) templates for scalable provisioning. ● Established centralized logging and monitoring using ELK Stack (Elasticsearch, Logstash, Kibana) and Azure Application Insights, improving visibility and reducing incident resolution time by 40%. ● Configured Azure Active Directory and Okta SSO for identity management and role-based access control across multiple services. ● Refactored legacy Java components into Spring Boot microservices, improving maintainability and reducing technical debt by 50%. ● Tuned PostgreSQL and Oracle Database queries, indexes, and connection pools to handle enterprisescale workloads, improving data processing time by 30%. ● Implemented circuit breaker and retry patterns using Spring Cloud, increasing resilience and reducing downtime in multi-service communication. ● Introduced structured logging and telemetry, enabling predictive insights into performance bottlenecks and reducing mean time to resolution (MTTR). ● Conducted penetration testing and vulnerability scanning with OWASP ZAP and SonarQube, ensuring compliance with internal security standards. ● Applied rigorous unit and integration testing using JUnit, NUnit, and Mockito, increasing deployment stability and reducing post-release bugs by 25%.

Full-Stack Developer at MediFusion

Lead full stack development end-to-end web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js) serving thousands of active users daily across eCommerce, analytics, and logistics domains. ● Engineered RESTful APIs using Spring MVC and Django REST Framework, integrating with AWS S3, RDS, and Elastic Beanstalk for scalable storage and compute. ● Built asynchronous background job systems using Celery + Redis, improving data processing efficiency and reducing request latency under heavy load. ● Designed and implemented data-driven dashboards using React, Redux, and D3.js, enabling real-time visualization of analytics and performance metrics. ● Built modular backend services in FastAPI and Flask, achieving 40% faster API response times through optimized query handling and async endpoints. ● Created reusable component libraries in React and Storybook, improving UI consistency across multiple client projects. ● Implemented JWT-based authentication and role-based access control (RBAC) for secure user management across applications. ● Collaborated with design teams to integrate WCAG-compliant, responsive interfaces that improved accessibility scores by 30%. ● Deployed containerized microservices using Docker and orchestrated workloads via Google Kubernetes Engine (GKE) and AWS ECS, achieving high uptime and seamless scaling. ● Automated infrastructure provisioning and deployments using Terraform and Jenkins CI/CD pipelines, reducing manual errors and deployment time by 60%. ● Integrated continuous integration workflows for automated builds, linting, and testing in multienvironment setups (Dev, QA, Prod). ● Implemented automated database migrations and rollback mechanisms for PostgreSQL and MongoDB using Liquibase and custom Node.js scripts. ● Configured AWS CloudWatch and GCP Stackdriver for monitoring, setting up alerts for latency, memory usage, and API failure thresholds. ● Built multi-cloud architecture prototypes leveraging AWS Lambda and GCP Cloud Functions for serverless experimentation. ● Designed ETL pipelines for importing and transforming large data sets from external APIs into PostgreSQL and MongoDB, improving query response efficiency. ● Applied ORM optimization techniques (Hibernate, Django ORM) to cut database access times by 25%. ● Integrated third-party APIs (Stripe, Twilio, Google Maps, HubSpot) to extend system functionality and enable dynamic user workflows. ● Implemented caching strategies with Redis and Memcached to reduce redundant database calls, improving backend performance and scalability. ● Developed data integrity tests and validation scripts to ensure consistency during batch data imports and migrations. ● Practiced Agile methodologies (Scrum and Kanban), leading sprint planning, daily stand-ups, and retrospectives across a multi-disciplinary team. ● Enforced test-driven development (TDD) principles with Jest, Mocha, and PyTest, achieving consistent test coverage

Senior Full-Stack Engineer at TeamLogic IT

Architected and delivered a multi-tenant SaaS analytics platform using Next.js, Node.js, and MongoDB, supporting 15,000+ concurrent users with zero downtime. Migrated legacy architecture into a microservice-based ecosystem deployed on AWS EKS with Helm, enabling independent scaling and reducing release failures by 90%. Designed a GraphQL gateway to unify distributed services, reducing over-fetching by 40% and simplifying frontend integration. Implemented event-driven data pipelines using RabbitMQ and Apache Kafka, enabling real-time dashboard updates. Introduced CQRS and caching with Redis, improving API response times by 45% on high-load endpoints. Optimized frontend rendering with Next.js SSR and AWS CloudFront, reducing page load times by 20%. Built reusable UI modules and contributed to a shared React component library. Engineered Terraform IaC modules to automate provisioning across staging and production. Cut cloud expenses by 30% through cost-aware autoscaling (EKS + RDS). Estab

Senior Backend Developer (.NET Core & Java) at Integrity Networks, Inc.

Engineered enterprise backend systems using .NET Core and Spring Boot to support millions of data transactions daily across marketing and analytics platforms. Led migration from monolithic Java EE to distributed microservices, achieving independent scaling and a 70% reduction in release complexity. Designed domain-driven modules for marketing automation, event tracking, and reporting, boosting overall system throughput by 35%. Implemented Spring Cloud Config, Spring Data, and Spring Security for secure multi-environment configurations and service discovery. Built real-time data ingestion pipelines with Apache Camel and Kafka Streams, cutting data latency from minutes to seconds. Created RESTful APIs and gRPC endpoints ensuring backward compatibility. Developed reusable backend libraries aggregating functionality across business units, increasing developer efficiency by 20%. Deployed microservices on AKS with Helm charts for consistent, version-controlled deployments. Configured Jenkins