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Sawan Kumar

Java Developer @ Cognizant | Spring Boot | Microservices | Kafka | Banking Domain | AWS | Kubernetes

Greater Bengaluru Area

3+ years of work experience

Cognizant
May 20233 yrs 2 mosPresent

Engineered 10+ production-grade RESTful APIs using Spring Boot and Java 17, handling high-volume banking transactions with structured exception handling and clean layered architecture across 5+ microservices. Developed distributed microservices using Java 17+ concurrency and multithreading — reducing average API response time by 25% through optimized thread pool management and Collection framework tuning. Reduced Mean Time to Resolve (MTTR) by 40% using Kibana log intelligence and root-cause analysis, proactively identifying recurring failure patterns across production microservices before customer escalation. Achieved 90%+ unit test coverage across 8 microservices using JUnit 5 and Mockito, cutting production defect rate by ~35% and enabling confident continuous deployment in the CI/CD pipeline. Partnered with front-end engineers to define and integrate 20+ backend REST APIs consumed by a React.js dashboard, establishing shared API contracts via Swagger/OpenAPI that reduced integration bugs by 30%. Built end-to-end CI/CD pipelines with Jenkins and GitLab CI, achieving 40% faster deployment cycles through automated testing gates, Docker containerization, and environment-specific configuration management. Led branching strategy and code review workflows on GitLab for a 6-member team, enforcing merge request standards that reduced integration conflicts by 50% and maintained zero broken-build releases. Orchestrated Kubernetes workload deployments via Rancher, owning production stability for 3 banking microservices and maintaining 99.9% uptime through proactive health monitoring and rollback automation. Designed event-driven data pipelines using Apache Kafka for real-time transaction processing, integrated with AWS S3 for secure document storage and AWS Lambda for serverless event triggers — reducing processing latency by 20%.
Cognizant
Mar 20233 yrs 4 mosPresent

Kolkata, West Bengal, India

Building production-grade microservices for a banking client using Java 17, Spring Boot, Apache Kafka, and Kubernetes. • Engineered 10+ RESTful APIs for high-volume banking transactions across 5+ microservices with clean layered architecture • Reduced average API response time by 25% via Java concurrency, thread pool management, and Collection framework optimization • Cut Mean Time to Resolve (MTTR) by 40% using Kibana log intelligence and proactive failure-pattern detection • Maintained 90%+ unit test coverage across 8 microservices (JUnit 5 + Mockito), reducing production defect rate by ~35% • Built end-to-end CI/CD pipelines (Jenkins + GitLab CI) achieving 40% faster deployments with Docker containerization • Designed Kafka event-driven pipelines integrated with AWS S3 and Lambda, cutting processing latency by 20% • Orchestrated Kubernetes workloads via Rancher, maintaining 99.9% uptime for 3 banking microservices • Defined 20+ backend API contracts via Swagger/OpenAPI consumed by a React.js dashboard, reducing integration bugs by 30% • Led GitLab branching & code review strategy for a 6-member team — zero broken-build releases • Championed GitHub Copilot adoption, reducing boilerplate generation time by 30%
Feb 20233 mosApr 2023

Developed Python scripts using Pandas and NumPy, improving data preprocessing efficiency for ML workflows by 30%. Built and trained an RNN-based stock price prediction model, achieving strong prediction accuracy and gaining hands-on experience with TensorFlow. Hands-on experience with core ML libraries such as Pandas, NumPy, and TensorFlow, applying them in practical scenarios. Built a web application to predict stock market prices using an RNN-based machine learning algorithm.
BrightCode
Dec 20182 mosJan 2019

Developed core modules in Java using OOP, collections, and clean coding practices, improving application reliability and readability. Built Android app components using Kotlin, MVVM, and MVC architectures, enhancing maintainability and performance. Created an Android-based Hospital Management System enabling doctor appointments, pharmacy inventory, and blood bank management—improving operational efficiency. Integrated local database storage using Room/SQLite (if applicable), increasing data retrieval speed by 25%.

Sawan’s AI Stack

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Education

Master of Computer Applications - MCA, Computer Application

DR. SHYAMA PRASAD MUKHERJEE

20193 yrs2022

B.SC, IT

Ranchi University, Doranda College

20163 yrs2019

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Headline

Java Developer @ Cognizant | Spring Boot | Microservices | Kafka | Banking Domain | AWS | Kubernetes

About

Java Backend Developer with 3+ years of production experience at Cognizant, building microservices for the banking domain using Spring Boot, Java 17+, Apache Kafka, and Kubernetes. I care deeply about code quality — maintaining 90%+ unit test coverage, applying SOLID principles, and cutting production defect rates by ~35%. I've led CI/CD automation that delivered 40% faster deployment cycles and used Kibana-driven observability to reduce MTTR by 40%. Highlights: • Engineered 10+ RESTful APIs handling high-volume banking transactions • Designed Kafka event-driven pipelines integrated with AWS S3 & Lambda • Reduced API response times by 25% through concurrency & thread pool optimization • Championed GitHub Copilot adoption, reducing boilerplate time by 30% • Collaborated with front-end teams on 20+ shared API contracts via Swagger/OpenAPI I'm actively seeking backend engineering roles where I can contribute to scalable, high-availability systems in Agile environments. 📍 Open to: Full-time | On-site / Hybrid / Remote 🛠 Stack: Java 17 · Spring Boot · Microservices · Kafka · Docker · Kubernetes · AWS · PostgreSQL

Location

Greater Bengaluru Area

AI stack

claude code

cursor

manus

n8n

Work experience

Programming Analyst at Cognizant, May 2023 - Present · 3 yrs 2 mos, Engineered 10+ production-grade RESTful APIs using Spring Boot and Java 17, handling high-volume banking transactions with structured exception handling and clean layered architecture across 5+ microservices. Developed distributed microservices using Java 17+ concurrency and multithreading — reducing average API response time by 25% through optimized thread pool management and Collection framework tuning. Reduced Mean Time to Resolve (MTTR) by 40% using Kibana log intelligence and root-cause analysis, proactively identifying recurring failure patterns across production microservices before customer escalation. Achieved 90%+ unit test coverage across 8 microservices using JUnit 5 and Mockito, cutting production defect rate by ~35% and enabling confident continuous deployment in the CI/CD pipeline. Partnered with front-end engineers to define and integrate 20+ backend REST APIs consumed by a React.js dashboard, establishing shared API contracts via Swagger/OpenAPI that reduced integration bugs by 30%. Built end-to-end CI/CD pipelines with Jenkins and GitLab CI, achieving 40% faster deployment cycles through automated testing gates, Docker containerization, and environment-specific configuration management. Led branching strategy and code review workflows on GitLab for a 6-member team, enforcing merge request standards that reduced integration conflicts by 50% and maintained zero broken-build releases. Orchestrated Kubernetes workload deployments via Rancher, owning production stability for 3 banking microservices and maintaining 99.9% uptime through proactive health monitoring and rollback automation. Designed event-driven data pipelines using Apache Kafka for real-time transaction processing, integrated with AWS S3 for secure document storage and AWS Lambda for serverless event triggers — reducing processing latency by 20%.

Junior Java Developer at Cognizant, Mar 2023 - Present · 3 yrs 4 mos, Kolkata, West Bengal, India, Building production-grade microservices for a banking client using Java 17, Spring Boot, Apache Kafka, and Kubernetes. • Engineered 10+ RESTful APIs for high-volume banking transactions across 5+ microservices with clean layered architecture • Reduced average API response time by 25% via Java concurrency, thread pool management, and Collection framework optimization • Cut Mean Time to Resolve (MTTR) by 40% using Kibana log intelligence and proactive failure-pattern detection • Maintained 90%+ unit test coverage across 8 microservices (JUnit 5 + Mockito), reducing production defect rate by ~35% • Built end-to-end CI/CD pipelines (Jenkins + GitLab CI) achieving 40% faster deployments with Docker containerization • Designed Kafka event-driven pipelines integrated with AWS S3 and Lambda, cutting processing latency by 20% • Orchestrated Kubernetes workloads via Rancher, maintaining 99.9% uptime for 3 banking microservices • Defined 20+ backend API contracts via Swagger/OpenAPI consumed by a React.js dashboard, reducing integration bugs by 30% • Led GitLab branching & code review strategy for a 6-member team — zero broken-build releases • Championed GitHub Copilot adoption, reducing boilerplate generation time by 30%

Intern at Britztech, Feb 2023 - Apr 2023 · 3 mos, Developed Python scripts using Pandas and NumPy, improving data preprocessing efficiency for ML workflows by 30%. Built and trained an RNN-based stock price prediction model, achieving strong prediction accuracy and gaining hands-on experience with TensorFlow. Hands-on experience with core ML libraries such as Pandas, NumPy, and TensorFlow, applying them in practical scenarios. Built a web application to predict stock market prices using an RNN-based machine learning algorithm.

Intern at BrightCode, Dec 2018 - Jan 2019 · 2 mos, Developed core modules in Java using OOP, collections, and clean coding practices, improving application reliability and readability. Built Android app components using Kotlin, MVVM, and MVC architectures, enhancing maintainability and performance. Created an Android-based Hospital Management System enabling doctor appointments, pharmacy inventory, and blood bank management—improving operational efficiency. Integrated local database storage using Room/SQLite (if applicable), increasing data retrieval speed by 25%.

Education

Master of Computer Applications - MCA, Computer Application, DR. SHYAMA PRASAD MUKHERJEE

B.SC, IT, Ranchi University, Doranda College