4+ Years · Java Full Stack Developer
// Full Stack Developer & Cloud-Native Engineer

Anil
Kumar
Poka

Java Full Stack Developer with 4+ years building scalable, cloud-native enterprise systems at The Home Depot and IBM. Expert in Spring Boot microservices, React.js, Apache Kafka, and AWS — delivering high-throughput, event-driven retail platforms from end to end.

View Experience →
profile.json
{
  "name": "Venkata Naga Anil Kumar",
  "role": "Java Full Stack Developer",
  "experience": "4+ years",
  "current": "The Home Depot",
  "stack": ["Java","Spring Boot","React.js","Kafka","AWS"],
  "status": "open_to_work"
}
4+
Years Experience
2
AWS Certifications
Professional Background

Experience

Full Stack Developer
The Home Depot Georgia, USA January 2025 – Present
  • Designed and developed scalable microservices using Java, Spring Boot, Spring Cloud, Hibernate, and JPA to support retail order processing, customer checkout, inventory synchronization, and product catalog services.
  • Implemented secure RESTful APIs and GraphQL services using Spring Security, OAuth2, JWT, API Gateway, and OpenFeign for authenticated retail transactions and third-party integrations.
  • Built responsive single-page applications using React.js, Redux Toolkit, React Hooks, TypeScript, Material UI, Tailwind CSS, and Axios for customer-facing retail workflows and internal inventory dashboards.
  • Engineered event-driven architecture using Apache Kafka, Kafka Streams, and RabbitMQ for near real-time inventory updates and order event processing across distributed retail systems.
  • Reduced production deployment time by 52% through automated CI/CD workflows, Kubernetes-based rolling deployments, and infrastructure-as-code using Terraform and Helm.
  • Improved API response performance by 38% via Redis caching, optimized SQL queries, connection pooling, and database indexing across PostgreSQL and Oracle environments.
  • Improved inventory synchronization accuracy by 41% across omni-channel retail systems through Kafka-based event streaming and asynchronous data replication pipelines.
  • Implemented centralized logging, monitoring, and observability using Splunk, ELK Stack, Grafana, Prometheus, Datadog, OpenTelemetry, and New Relic for proactive issue detection.
Java 17Spring BootSpring CloudReact.jsTypeScriptRedux ToolkitApache KafkaRabbitMQRedisAWS EKSDockerKubernetesTerraformGraphQLJWTOAuth2PrometheusGrafanaJenkins
Full Stack Developer
IBM India September 2020 – June 2023
  • Spearheaded migration of legacy monolithic checkout application to a highly scalable microservices architecture using Spring Boot, Java & Spring MVC — reducing system latency by 35% during peak traffic.
  • Developed highly interactive Angular.js, Redux, TypeScript, and Material UI interfaces for Product Catalog Management and cart systems, ensuring seamless cross-device compatibility.
  • Integrated Elasticsearch for advanced search optimization with a custom Recommendation Engine, accelerating catalog search query response times to under milliseconds across millions of SKUs.
  • Designed distributed caching strategies using Redis to alleviate database load for frequently accessed product data, significantly enhancing high-volume transaction processing capabilities.
  • Established comprehensive CI/CD pipelines using Jenkins, Git, Maven, Gradle, and Terraform, increasing deployment frequency by 40% and reducing manual integration errors across Agile teams.
  • Enforced rigorous code review practices and TDD with JUnit and Mockito — complemented by UI automation via Selenium — achieving over 85% code coverage across critical services.
  • Deployed and managed cloud-native microservices on AWS (EC2, S3, RDS) leveraging Docker containerization and Kubernetes orchestration for maximum uptime across distributed core services.
  • Guaranteed complete system reliability and observability through robust monitoring, logging, and alerting using Prometheus, Grafana, Splunk, and the ELK Stack.
JavaSpring BootSpring MVCReact.jsReduxTypeScriptAngularApache KafkaRedisElasticsearchMySQLPostgreSQLAWSDockerKubernetesJenkinsTerraformJUnitMockitoELK Stack
Technical Stack

Skills

Programming Languages
Core Programming
Java 8/11/17 powers all backend microservices across both projects. TypeScript and JavaScript drive React.js at The Home Depot and the Angular/Bootstrap UI at IBM. SQL, HTML5, and CSS3 used throughout both. Shell Scripting supports CI/CD automation and infrastructure provisioning.
Java 8/11/17TypeScriptJavaScript (ES6+)SQLHTML5CSS3Shell Scripting
The Home DepotIBM
Backend Technologies
Server-Side Engineering
At The Home Depot: Spring Boot, Spring Cloud, Spring WebFlux, GraphQL, Reactive Programming, and Distributed Systems for the Real-Time Inventory & Checkout platform. At IBM: Spring Boot and Spring MVC for the legacy-to-microservices migration. Hibernate, JPA, RESTful APIs, and Event-Driven Architecture shared across both.
Spring BootSpring MVCSpring WebFluxSpring CloudHibernateJPARESTful APIsGraphQLReactive ProgrammingMicroservices ArchitectureDistributed SystemsEvent-Driven Architecture
The Home DepotIBM
Frontend Technologies
UI & Client-Side
At The Home Depot: React.js, Redux Toolkit, React Hooks, Material UI, Tailwind CSS, and Axios for responsive customer checkout flows and inventory dashboards. At IBM: Angular.js, Redux, Bootstrap, and Responsive Web Design for Product Catalog Management and cart UI; AJAX and JSON for asynchronous data fetching without page reloads.
React.jsReduxRedux ToolkitReact HooksMaterial UITailwind CSSBootstrapResponsive Web DesignAxiosAJAXJSON
The Home DepotIBM
Security & Authentication
Auth & Protection
At The Home Depot: Spring Security with JWT and OAuth2 across all microservices; custom filters enforce RBAC for checkout, inventory, and admin endpoints; API Gateway secures all service entry points and handles third-party integrations. At IBM: JWT, OAuth2, and Spring Security to safeguard sensitive user data and ensure Secure Payment Processing.
Spring SecurityOAuth2JWTAPI GatewaySecure Payment ProcessingAuthentication & AuthorizationRBACToken Management
The Home DepotIBM
Messaging & Streaming
Event-Driven Architecture
At The Home Depot: Apache Kafka, Kafka Streams, and RabbitMQ for real-time inventory sync and order event streaming — Kafka producers publish OrderCreated events consumed asynchronously by Inventory, Payment, and Notification services. At IBM: Apache Kafka for high-throughput real-time order processing across payment, shipping, and inventory services.
Apache KafkaKafka StreamsRabbitMQAsynchronous MessagingEvent Streaming
The Home DepotIBM
Databases & Caching
Data & Performance
At The Home Depot: PostgreSQL and Oracle for inventory and order data; Redis caching improving API response times by 38%; DynamoDB for cloud-native high-throughput storage. At IBM: PostgreSQL and MySQL for product and customer data via Hibernate/JPA; Redis distributed caching for frequently accessed product data to handle high-volume transactions.
PostgreSQLMySQLOracleRedisDynamoDBSQL Query OptimizationDatabase IndexingConnection Pooling
The Home DepotIBM
Search & Performance
Optimization & Scale
At IBM: Integrated Elasticsearch for advanced Search Optimization and custom Recommendation Engine Integration — accelerating catalog search to under milliseconds across millions of SKUs. Optimized application performance through Multithreading & Concurrency models, JVM Memory Management tuning, and Performance Engineering for High-Traffic Application Handling. Applied at The Home Depot for high-volume retail traffic.
ElasticsearchSearch OptimizationRecommendation EngineJVM Memory ManagementMultithreadingConcurrencyPerformance EngineeringHigh-Traffic Handling
The Home DepotIBM
Cloud & DevOps
Infrastructure & Deployment
At The Home Depot: AWS EKS, ECS, Lambda, API Gateway, S3, RDS, DynamoDB, CloudWatch, and IAM for secure cloud-native retail applications; Kubernetes rolling deployments with Helm and Terraform IaC. At IBM: AWS EC2, S3, and RDS with Docker containerization and Kubernetes orchestration for maximum uptime on distributed microservices.
AWSEKSECSEC2LambdaAPI GatewayS3RDSDockerKubernetesHelmTerraformCloud-Native DevelopmentInfrastructure as Code
The Home DepotIBM
CI/CD & Build Tools
Automation & Delivery
At The Home Depot: Jenkins, GitHub Actions, Maven, Gradle, Terraform, and Shell scripting automating build, deployment, and infrastructure provisioning — reducing deployment time by 52% via Kubernetes rolling deployments. At IBM: Jenkins, Git, Maven, Gradle, and Terraform pipelines increasing deployment frequency by 40% and cutting manual integration errors.
JenkinsGitHub ActionsGitMavenGradleCI/CD PipelinesRolling Deployments
The Home DepotIBM
Monitoring & Observability
Reliability Engineering
At The Home Depot: Full observability stack — Splunk, ELK Stack, Grafana, Prometheus, Datadog, OpenTelemetry, and New Relic for real-time dashboards, distributed tracing, and proactive alerting. At IBM: Prometheus, Grafana, Splunk, and ELK Stack for centralized logging, metrics tracking, and system downtime reduction.
SplunkELK StackGrafanaPrometheusDatadogOpenTelemetryNew RelicCloudWatchLoggingMonitoringAlerting
The Home DepotIBM
Testing & QA
Quality & Delivery
At The Home Depot: JUnit 5, Mockito, Postman, TestContainers, Selenium, and Cypress wired into CI/CD for unit, integration, and API testing across all microservices. At IBM: JUnit and Mockito for TDD across service layers; Selenium for UI automation — achieving 85%+ code coverage across the e-commerce platform.
JUnit 5MockitoSeleniumCypressPostmanTestContainersUnit TestingIntegration TestingAPI TestingTDDUI Automation
The Home DepotIBM
Architecture & Integration
System Design
At The Home Depot: OpenFeign for third-party integrations and service-to-service communication; Omni-Channel Retail Systems synchronizing inventory across online, in-store, and warehouse channels; Product Catalog Management APIs serving customer-facing and internal dashboards. Applied distributed system patterns across both projects.
OpenFeignThird-Party IntegrationsOmni-Channel Retail SystemsInventory SynchronizationProduct Catalog Management
The Home DepotIBM
Methodologies
Process & Collaboration
At The Home Depot: Agile Scrum for iterative delivery of inventory and checkout features; CI/CD-enforced code reviews and rolling deployments. At IBM: Agile Scrum throughout the full microservices migration — sprint planning, standups, and retrospectives with cross-functional product and QA teams.
AgileScrumCode Review PracticesSDLC
The Home DepotIBM
Soft Skills
Professional Strengths
Demonstrated across both roles — analytical thinking and problem solving when designing the Saga pattern and optimistic locking strategies; ownership and adaptability during the IBM monolith migration; strong team collaboration and communication across distributed Agile squads at The Home Depot.
Problem SolvingAnalytical ThinkingTeam CollaborationCommunicationOwnershipAdaptabilityTime Management
The Home DepotIBM
Operating Systems
Environment & Platform
Linux and UNIX used for server-side development, scripting, and cloud deployments across both projects. Windows and MacOS for local development environments and tooling.
LinuxUNIXWindowsMacOS
The Home DepotIBM
Credentials

Certifications

☁
AWS Certified Solutions Architect – Associate
Amazon Web Services • Verify on Credly ↗
Active • Issued 2025
Verify ↗
🔒
AWS Academy Cloud Security Foundations
AWS Academy • Verify on Credly ↗
Active • Issued 2025
Verify ↗
About Me

Engineering
the Cloud

I’m a Java Full Stack Developer with 4+ years of experience architecting, developing, and deploying scalable, cloud-native enterprise applications and high-volume retail systems.

Started my career at IBM India where I spearheaded the migration of a legacy monolithic checkout system to a fully distributed microservices platform — reducing peak-traffic latency by 35% and increasing deployment frequency by 40% across Agile engineering teams.

Currently building large-scale retail infrastructure at The Home Depot in Georgia — engineering real-time inventory sync, event-driven checkout systems, and AWS cloud-native pipelines that serve millions of customers across omnichannel retail. Every system ships with robust CI/CD automation, full observability, and enterprise-grade security.

LocationBirmingham, Alabama, USA
DegreeM.S. Computer Science • Anderson University
CertsAWS SAA • AWS Cloud Security
Emailanilpoka346@gmail.com
StatusOpen to Opportunities
Get In Touch

Have a
role for me?

Let’s build something great together.

anilpoka346@gmail.com
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