Naveen Metta

Software Engineer

Bengaluru, Karnataka, India4 yrs 3 mos experience

Key Highlights

Architected backend systems for millions of transactions.
Achieved 10% storage efficiency improvement at New Relic.
Maintained 99.99% uptime through resilient infrastructure.

Stackforce AI infers this person is a Backend Engineer specializing in high-throughput distributed systems for e-commerce.

Contact

mettanaveen701@gmail.com LinkedIn

Skills

Core Skills

JavaSpring BootAgile MethodologiesDistributed Systems

Other Skills

Java 17Spring Boot 3Apache KafkaPostgreSQLRedisDockerKubernetesAWSJenkinsSplunkGrafanaNew RelicCI/CDMicroservicesAgile/Scrum

About

I build backend systems that handle millions of transactions daily at Walmart — one of the world's largest e-commerce platforms. Currently at Walmart Global Tech, I architect high-throughput distributed services using Java 17, Spring Boot, and Apache Kafka. I design event-driven microservices, real-time data pipelines, and resilient infrastructure targeting 99.99% uptime. Key impact across my career: → Building Kafka-based pipelines processing millions of daily transactions at enterprise scale (100M+ item catalog) → Improved NRDB storage efficiency by 10% through Java/Kafka pipeline optimization at New Relic → Reduced API response times by 20% with async processing and Redis caching → Cut incident resolution time by 25% through better observability and root-cause analysis → Maintained 99.9%+ uptime through CI/CD automation with Jenkins and Docker Tech: Java 8/11/17 | Spring Boot | Apache Kafka | PostgreSQL | MongoDB | Redis | AWS | Docker | Kubernetes | REST APIs | System Design Open to: Senior Software Engineer | Staff Engineer | Lead Backend Engineer roles in distributed systems at scale. 📫 mettanaveen701@gmail.com | naveen-metta.netlify.app

Experience

4 yrs 3 mos

Total Experience

2 yrs

Average Tenure

3 mos

Current Experience

Walmart global tech india

Software Engineer III

Feb 2026 – Present · 3 mos · Bengaluru, Karnataka, India · On-site

Architecting high-throughput distributed backend services using Java 17, Spring Boot 3, and Apache Kafka — processing millions of daily transactions for Walmart's global e-commerce platform serving 240M+ weekly customers
Designing event-driven microservices with Kafka Streams for real-time inventory and supply chain data pipelines at enterprise scale (100M+ items catalog)
Optimizing PostgreSQL queries and implementing Spring Data JPA patterns that reduced p99 API latency, improving throughput for high-traffic endpoints
Building resilient systems with Resilience4j circuit breakers, Redis distributed caching, and async processing patterns targeting 99.99% uptime SLA
Driving zero-downtime deployments via CI/CD pipelines (Jenkins, Docker, Kubernetes) across production clusters
Participating in on-call rotations and production incident triage — performing root-cause analysis to maintain platform reliability at scale
Tech: Java 17, Spring Boot 3, Apache Kafka, PostgreSQL, Redis, Docker, Kubernetes, AWS, Jenkins, Splunk, Grafana, New Relic

Java 17Spring Boot 3Apache KafkaPostgreSQLRedisDocker+8

Persistent systems

Lead Software Engineer

Aug 2024 – Feb 2026 · 1 yr 6 mos · Hyderabad, Telangana, India · Hybrid

Client: New Relic (Observability Platform — publicly traded, serving 16K+ enterprise customers)
Optimized the Java Agent data ingestion pipeline, achieving 10% storage efficiency improvement in New Relic Database (NRDB) by eliminating redundant data through intelligent deduplication
Reduced API response times by 20% by implementing async processing patterns and Redis caching layers for high-frequency query endpoints
Streamlined Docker-based server automation, improving service availability by 5% and reducing team operational overhead by 8%
Cut incident resolution time by ~25% through enhanced structured logging, distributed tracing, and systematic root-cause analysis workflows
Contributed to MVP development and feature rollouts end-to-end — from design through production deployment — while maintaining 99.9%+ service reliability across all sprints
Collaborated cross-functionally with product, frontend, and QA teams to deliver features on time with zero sprint spillovers
Tech: Java, Spring Boot, Apache Kafka, Docker, Redis, PostgreSQL, CI/CD, Jenkins, Microservices, Agile/Scrum

JavaSpring BootApache KafkaDockerRedisPostgreSQL+6

Accenture

2 roles

Software Engineering Analyst

Promoted

Jun 2023 – Aug 2024 · 1 yr 2 mos · Hyderabad, Telangana, India · Remote

Built 3+ backend service flows from scratch, designing RESTful APIs documented with Swagger and backed by SQL databases for CRUD operations
Developed reusable, scalable React components with comprehensive integration and unit tests covering all edge cases — improving frontend reliability
Owned end-to-end code deployment pipeline from QA through production, providing ongoing support and monitoring
Resolved 10+ production defects within committed ETAs using systematic debugging and root-cause analysis
Facilitated Sprint Planning Walkthrough calls, providing technical overview of sprint deliverables to cross-functional stakeholders
Conducted knowledge transfer sessions for new joiners, accelerating onboarding across both functional and technical domains
Tech: Java, Spring Boot, React, SQL, REST APIs, Swagger, Jira, Confluence, Agile/Scrum

JavaSpring BootReactSQLREST APIsSwagger+5

Associate Software Engineer

Jan 2022 – May 2023 · 1 yr 4 mos · Hyderabad, Telangana, India · Remote

Designed and built multiple microservices using Apache Kafka event-driven messaging, achieving 20% reduction in API response times
Developed complex SQL queries with JDBC Template for high-performance data retrieval and storage across POST/GET API endpoints
Increased JUnit test coverage by 10% and React (Jest) coverage by 5%, strengthening quality gates across the CI/CD pipeline
Performed root-cause analysis in performance and UAT environments using Splunk and Dynatrace, ensuring smooth production deployments
Delivered features across multiple program increments following SAFe practices — managing code merges, conflict resolution, and release integration
Completed a 6-month intensive training program in Java Enterprise with Spring Boot, building foundational expertise in enterprise backend development
Tech: Java, Spring Boot, Apache Kafka, SQL, JDBC, React, Jest, JUnit, Splunk, Dynatrace, Docker, Postman, SAFe/Agile

JavaSpring BootApache KafkaSQLJDBCReact+7