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Geethanjali Maharaja - Java developer

[email protected]

Location: San Jose, California, USA

Relocation:

Visa: H1

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GEETHANJALI MAHARAJA United States | (513) 954-2189 | [email protected] |LinkedIn Experienced Java Full Stack Developer with 6+ years of expertise in designing, developing, and deploying scalable web applications. Proficient in Java (6 17), Spring Boot, Angular (2 17), React.js, JavaScript, and REST APIs, with strong skills across frontend and backend development. Hands-on experience with databases (MySQL, Oracle, PostgreSQL, SQL Server), cloud platforms (AWS, GCP), and CI/CD (Jenkins, Docker, Kubernetes). Skilled in big data and real-time processing using Kafka, Spark, and Airflow, with proven success in building secure, high-performance microservices. Recognized for implementing fraud detection systems, secure APIs, and observability solutions (Prometheus, Grafana) while ensuring compliance with PCI-DSS and GDPR. Adept in Agile/Scrum, delivering innovative, reliable, and user-centric solutions EDUCATION Master of Science in Information Technology August 2022 December 2023 University of Cincinnati, United States of America GPA: 4.00/4.00 Bachelor of Technology, Information Technology August 2015 June 2019 Jawaharlal Nehru Technological University, Hyderabad GPA: 3.2/4.00 TECHNICAL SKILLS Languages: Java (versions 6-17), JavaScript, TypeScript Java/J2EE Technologies: JDBC, Spring, JPA, JSP, EJB, JTA, JSTL Web Technologies: Angular 10, NodeJS, HTML5, CSS3, JavaScript, Angular, ReactJS, and Bootstrap Web Service Frameworks: Spring Framework, Spring Boot, Spring MVC, Spring Core, React, Node.js, GraphQL (Apollo Server/Client, GraphQL Java, schema design, resolvers, subscriptions, query optimization) Tools: Eclipse, IntelliJ, Maven, Gradle, ANT, Jenkins, Terraform, CloudFormation Version Control: Git, Bitbucket, GitLab, GitHub Cloud: AWS (EC2, Lambda, S3), GCP CERTIFICATIONS AWS Solution Architect Associate Core Java and advanced Java Certification TCS- 2018 Oracle Cloud Infrastructure Foundations 2021 Certified Associate. JavaScript Programming course in Udemy. EXPERIENCE Software engineer | Walmart Feb 2025 Nov 2025 Built scalable microservices in Java 17 for Walmart s digital platforms, optimizing performance with streams/functional programming and supporting millions of daily search queries. Designed a real-time search suggestion engine and implemented GraphQL APIs, reducing response times by 30% and improving customer engagement. Integrated Apache Kafka, Spark, and Airflow to ingest, transform, and orchestrate real-time data pipelines, ensuring dynamic updates for search services. Deployed services on KITT Native cloud infrastructure, leveraging Prometheus & Grafana dashboards for observability and cutting downtime by 25%. Implemented Python scripts to automate data validation and schema checks for Big Query pipelines, improving data quality and reducing manual effort. Utilized Google Big Query & GCS for large-scale data analytics and secure storage, enabling faster insights and improved scalability. Enhanced Angular UI performance by 25% by implementing lazy loading, reusable components, and optimized change detection, improving page load times and overall customer experience. Enhanced UI stability in an Angular module, improving usability by filtering null values and reducing rendering issues. Improved code quality by 20%, as Copilot generated unit tests, exception handling blocks, and refactoring suggestions that reduced review comments. Led A/B testing initiatives to measure feature impact and optimize search relevance, driving data-backed product improvements. Boosted search relevance by 30% by integrating ML-based real-time search suggestion models, improving CTR (click-through rate) and customer engagement. Authored architectural diagrams, API contracts, and deployment guides, ensuring smooth onboarding and maintainability across teams. Java Full stack Developer | T-Mobile Jul 2023 Jan 2025 Developed a full-stack internal web application for T-Mobile associates to retrieve real-time subscriber and network data, improving customer issue resolution speed by 40%. Built and deployed Spring Boot microservices integrated with Ericsson network APIs, fetching live SIM and network KPIs to assist in troubleshooting and account updates. Implemented Spring Cloud Config Server and Eureka Service Discovery for centralized configuration and resilient inter-service communication. Designed and exposed REST and GraphQL APIs to deliver multi-source subscriber data efficiently, reducing payload size and boosting API response by 25%. Utilized Spring Data JPA and Hibernate for relational transactions while leveraging Cassandra (NoSQL) for scalable storage of network session data. Introduced Redis caching for frequently accessed subscriber information, cutting backend load and improving response time from 1.8 s to under 700 ms. Adopted Spring WebFlux and Completable Future for non-blocking Ericsson integrations, increasing concurrency and throughput under heavy network load. Secured and optimized service routing through AWS API Gateway, enabling authentication, throttling, and request filtering for internal tools. Containerized and deployed microservices on AWS EKS (Kubernetes) using Docker, achieving auto-scaling and 99.9% availability. Automated CI/CD pipelines with Jenkins, integrating unit tests, code quality checks (SonarQube), and zero-downtime deployments. Built a responsive Angular (TypeScript) frontend using RxJS and NgRx for state management, delivering real-time subscriber insights and improving UI performance by 30%. Integrated Angular Material components, lazy loading, and reusable modules to enhance user experience and maintainability. Automated report generation via AWS Lambda functions, storing results in S3 for analytics and compliance, reducing manual reporting time by 80%. Established observability with Prometheus, Grafana, and AWS CloudWatch, providing proactive alerting and 30% faster root-cause resolution. Collaborated with cross-functional teams in an Agile/Scrum environment, enhancing release velocity and ensuring secure, high-performance cloud deployments. Software Engineer | Zensar Technologies Mar 2019 Jul 2022 Developed secure and scalable microservices (Java 11, Spring Boot) and REST APIs for Standard Bank s multi-signatory account onboarding, improving workflow efficiency by 30%. Built responsive frontends with React & JavaScript, integrating dynamic forms and reusable components that reduced onboarding errors by 25% and improved approval time by 30%. Implemented fraud detection algorithms and integrated microservices with a fraud detection engine, reducing fraud risk by 40% through real-time monitoring of suspicious transactions. Designed secure integrations with third-party systems via REST APIs, OAuth2/JWT, RBAC, mutual TLS, and IP whitelisting, ensuring compliance with PCI-DSS and GDPR. Leveraged Apache Kafka for near real-time fraud detection, configuring producers, consumers, and retention policies to handle large-scale transaction data with 99.9% uptime. Utilized MongoDB, MySQL, and PostgreSQL for scalable, structured, and unstructured data storage, optimizing queries to improve retrieval times by 35%. Automated deployments with Jenkins CI/CD, Kubernetes, and Terraform, improving release efficiency by 50% and enabling seamless rollbacks for failed deployments. Enhanced application resilience with Kubernetes auto-scaling and failover, reducing downtime by 30% during peak loads. Conducted unit, integration, and performance testing (JUnit, Jasmine, Karma), cutting production defects by 25% and ensuring API stability under high-traffic scenarios. Automated log aggregation, backup, and database maintenance tasks using Python and shell scripting, improving troubleshooting efficiency by 40%. Collaborated with cross-functional teams to resolve incidents, performing root-cause analysis and implementing fail-safe mechanisms to improve system resiliency. Foreign Exchange Dealing System Built Java microservices with Oracle 12c (PL/SQL, JDBC) to support real-time Forex trading, improving transaction throughput by 35%. Designed RESTful APIs and Kafka pipelines for seamless integration with external trading platforms, reducing data exchange latency by 40%. Leveraged Java concurrency & caching to optimize high-volume trade processing, cutting response times by 20%. Utilized MongoDB for historical trade logs and analytics, accelerating fraud detection and reporting by 25%. Automated database jobs and monitoring with Control-M and Shell scripts, reducing manual effort by 50%. Recognized by the client with an appreciation award for delivering performance improvements and resolving production issues. Keywords: continuous integration continuous deployment machine learning user interface javascript sthree microsoft mississippi procedural language