Ritesh Panigrahi

Software Engineer

Bengaluru, Karnataka, India5 yrs 7 mos experience
Highly Stable

Key Highlights

  • Expert in building high-performance distributed systems.
  • Proven track record in optimizing data infrastructure.
  • Strong experience in microservices architecture.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in E-commerce and Distributed Systems.

Contact

Skills

Core Skills

Distributed SystemsData InfrastructureMicroservicesElasticsearchKafkaGitopsEvent-driven ArchitectureAutomationRest Apis

Other Skills

JavaSpring BootAzure Cosmos DBAzure Service BusGrafanaKibanaDockerPythonHTMLData StructuresMachine LearningObject-Oriented Programming (OOP)AlgorithmsFront-end DevelopmentC (Programming Language)

About

As a Software Engineer at Walmart, I am part of the fulfillment team, where we manage end-to-end lifecycle of order processing. I excel in building scalable, high-performance distributed systems. ✅ Current Tech Stack: Proficient in Java, Spring Boot, Kafka, Cosmos DB, Azure, and Elasticsearch. Skilled in using tools such as Kibana, Sonar, Grafana, and Splunk for metrics and logging. ✅ Microservices Architecture: Extensive experience in designing and managing low latency microservices, ensuring reliability and scalability in distributed systems. ✅ Cloud & Containerization: Expertise in Azure for cloud deployments and Kubernetes and Docker for container orchestration. ✅ SDLC Knowledge: Comprehensive understanding of the Software Development Life Cycle (SDLC), from Requirement Gathering and Analysis to Design, Development, Testing, Implementation, and Maintenance. Tech Skills: Java • Spring Boot • Kafka • NoSQL • SQL • Rest APIs • Grafana • RabbitMQ • Hibernate • Spring Security • Azure Cosmos • Sonar • Elasticsearch • Kubernetes • Docker • Orchestration • Azure Service Bus In my spare time, I love writing technical blogs and sharing what I learn with others in the tech community. I believe teamwork and persistence are key to solving tough problems. I'm always learning and eager to try out new technologies, even if they're unfamiliar at first. My ability to solve problems and my commitment to improving every day help me succeed in software engineering. Feel free to connect with me to discuss technology, share insights, or for any opportunities or collaborations. I'm always open to meaningful conversations and networking opportunities.

Experience

5 yrs 7 mos
Total Experience
2 yrs 8 mos
Average Tenure
2 mos
Current Experience

Ebay

Member of Technical Staff

Feb 2026Present · 2 mos · Bengaluru · Hybrid

  • Working on data infrastructure and distributed systems within the Data Platform team
  • Building and improving platform capabilities to support data collection, processing, and serving at scale
  • Contributing to systems that manage the end-to-end data lifecycle across the platform
JavaSpring BootKafkaElasticsearchData InfrastructureDistributed Systems

Walmart global tech india

2 roles

Senior Software Engineer

Aug 2025Feb 2026 · 6 mos

Software Engineer 3

Jul 2022Aug 2025 · 3 yrs 1 mo

  • Working on Fulfillment Management System (FMS), a high-throughput, event-driven platform managing 45K+ orders/min across Walmart sites and partners.
  • 🔧 Key Initiatives:
  • Elasticsearch Optimization: Reduced doc size by 25%, cut API calls by 95%, downsized cluster by 55%, and saved $1000/day. Eliminated lag (from 40M) via batch write restructuring and dual ingestion.
  • Kafka Idempotency: Redesigned event flow to remove redundant writes, retiring legacy storage and reducing compute overhead.
  • FMS Orchestration Framework: Contributed to a reusable orchestration framework powering 15+ microservices. Enabled configurable Kafka event workflows with support for DB writes, parsing, retries, and header-based routing.
  • GitOps-Based Config Code Management: Led GitOps rollout for 20+ services. Defined rollout plan, onboarded teams, and ensured version-controlled, auditable, and error-free deployments.
  • Fast Recovery (FMS): Built snapshot-based event replay mechanism to identify and resync missing events across OPD(online pickup & delivery) systems, reducing MTTD/MTTR in DR scenarios.
  • Early Order Drops: Reduced late PO drops by 75% by automating internal cutoffs and integrating real-time alerts via Grafana/Kibana.
  • Tech: Java, Spring Boot, Kafka, Elasticsearch, GitOps, Azure Cosmos DB, Azure Service Bus, Grafana, Kibana, Docker, Microservices, Distributed Systems,Event-driven Architecture
JavaSpring BootKafkaElasticsearchGitOpsAzure Cosmos DB+7

Deutsche bank

Technology Analyst

Sep 2020Jul 2022 · 1 yr 10 mos

REST APIs

Central drug research institute, lucknow

Data Science Intern

May 2019Jun 2019 · 1 mo

Education

Thadomal Shahani Engineering College

Bachelor of Engineering - BE — Computer Engineering

Jan 2016Jan 2020

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