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Click here or scroll down to respond to this candidateCandidate's Name
Java DeveloperPHONE NUMBER AVAILABLEEMAIL AVAILABLE LinkedInSUMMARY4+ years of experience as a Java Full Stack Developer with a track record of improving project efficiency by 25% and reducing application latency by 20%.Proven expertise in Software Development Life Cycle (SDLC) methodologies like Agile and Waterfall, contributing to 25% project efficiency gains.Proficient in a variety of frameworks, including Spring MVC, Spring Boot, and Microservices, resulting in 30% reductions in system complexity.Skilled in crafting Dynamic Single Page Applications (SPAs) using Node.js and React, achieving 99.5% uptime in real-time analytics dashboards.Adept at front-end technologies like HTML, CSS, and JavaScript, contributing to 25% improvements in UI load times.Solid understanding of database technologies like MySQL and MongoDB, leading to 18% improvements in database efficiency.Experience in Object-Oriented Analysis and Design (OOAD) using UML, along with Git for version control, streamlining collaborative development.TECHNICAL SKILLSMethodology: SDLC, Agile, WaterfallProgramming Languages: Core Java, Java 8, Python Relational Database: MySQL, NoSQL, MongoDBFrameworks/Libraries: Spring MVC, Hibernate, Spring Boot, Microservices, Security, Angular.JS, Node.JS, React.JSIDEs: NetBeans, Eclipse, Visual Studio CodeWeb Technologies: HTML, CSS, JavaScript, Bootstrap, jQuery, Ajax, JSON, XMLBuild/Other Tools: UML, MS Vision, Maven, Gradle, Terraform, Ansible, JUnit, Jenkins, CI/CD, Dockers, Kubernetes.Application Server: Apache Tomcat, AWS, AzureVersion Control Tools: Git, GitHub, JiraInterpersonal Skills: Communication skills, Leadership skills, Teamwork, Collaboration, Continuous learningPROFESSIONAL EXPERIENCERole: Java Developer USAClient Name: Zoron IT Solutions Jan 2022 - CurrentImplemented Agile methodologies, resulting in a 25% improvement in project efficiency.Reduced application latency by 20% through targeted Java optimizations and code refactoring.Maintained 99.5% uptime for a mission-critical internal dashboard, utilizing ReactJS and Kafka for real-time analytics.Boosted team productivity by 15% by automating CI/CD pipelines with Jenkins and Spring Boot.Enhanced system security by 20%, implementing robust authentication and authorization measures using Spring Security.Java applications for smooth interoperability between various healthcare information systemsJava with relational databases like PostgreSQL and NoSQL solutions, improving query performance and scalability.Java in combination with AWS services for dynamic patient data management.Java, enabling efficient patient record handling, appointment scheduling, and billing automation.Improved data validation accuracy by 10% on the client side using JavaScript, reducing error rates and enhancing user experience.Optimized SQL queries and database transactions, leading to 18% faster data retrieval.Conducted code reviews and pair programming, ensuring a reduction of bugs by 12% in the development cycle.Collaborated on microservices architecture, facilitating easier scaling and a 30% reduction in system complexity.Introduced unit tests using JUnit, improving code quality, and achieving 98% test coverage.Client-side error handling includes managing response errors from the backend APIs and showing appropriate error messages to users.Two-way data binding ensures that any updates in the data model are reflected in the view and vice versa.Environment: core java, Reactjs, Kafka, CI/CD, JavaScript, SQL,, Microservices Architecture, JUnit, Spring boot,Agile Methodologies, java 8, Angular,Role: Java Developer IndiaClient Name : Sapotech Solutions Pvt Ltd Jun 2020 Dec 2021Transitioned from Monolithic to Microservices architecture, resulting in a 30% reduction in system complexity.Enhanced UI load times by 25% through optimizations in HTML, CSS, and JavaScript.Integrated Java-based applications with core banking systems for seamless data transfer and real-time updates.Implemented payment gateways and transaction management modules for banking platforms using Java and RESTful APIsDesigned and implemented real-time transaction monitoring systems for fraud detection using Java, SQL, and third-party APIs.Used Java's multithreading and concurrency mechanisms to handle high-volume transaction processing in banking applications.Developed modules for loan processing, interest calculation, and credit risk management within banking systems using Java.Managed the integration of external financial data sources into the banking system using Java and APIs to improve data accuracy and reporting.Used PostgreSQL and SQL for efficient data storage, transaction logging, and retrieval in banking applications.Deployed application on AWS, maintaining a 99% availability rate and minimizing downtime.Increased database efficiency by 18% using MongoDB optimization techniques.Achieved a 20% faster data retrieval rate through efficient utilization of RESTful APIs.Implemented caching mechanisms, improving API response times by 12%.Utilized WebSockets for real-time communication, leading to enhanced user engagement.Conducted A/B tests to improve user experience, resulting in a 9% increase in user satisfaction metrics.Mentored junior developers, improving team skills and accelerating onboarding by 20%.Implemented CI/CD workflows, reducing the release cycle length by 14%.Use Angular CLI for building and optimizing the frontend. Both can be integrated in a CI/CD pipeline for automated deployments.Angular interacts with these microservices to display the data or perform operations on a modular basis.Angular also relies on DI for services, which are injected into components and other services.Introduced Test-Driven Development (TDD), leading to more robust code and a 10% decrease in post-deployment issues.Environment: core java, SQL, CSS, JavaScript, HTML, RESTFUL APIS, CI/CD, AWS, GIT, Agile Methodologies, Microservices Architecture, Aws, Angular,EDUCATIONUniversity of MemphisMaster of Information Systems(GPA:3.27/4)Meenakshi Ramaswamy Engineering CollegeBachelor of Computer Science (GPA:8.12/10) |
