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Senior backend developer skilled in Java, Spring Boot, Rest, & AWS

Location:
San Jose, CA
Posted:
March 11, 2024

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Resume:

Puja Kumari

San Jose, CA ***** 669-***-**** ad39qj@r.postjobfree.com linkedin github

EDUCATION

Master of Science in Software Engineering, San Jose State University, San Jose, CA Aug 2023 - May 2025 Software System Engineering, Cloud Computing, Mobile Computing, Distributed Systems, Machine Learning GPA: 3.8 Bachelor of Technology in Computer Science, Vinoba Bhave University, India Aug 2011 - May 2015 Object Oriented Programming, Data Structures and Algorithms, Design Patterns, Operating System, Databases GPA: 3.83 TECHNICAL SKILLS

• Languages: Java, Python, C++, SQL, Perl, and Shell Script

• Databases: MySQL, MSSQL, DynamoDB, and PostgreSQL

• Web Technologies: HTML, JavaScript, TypeScript, CSS, Node.js, React

• Frameworks: Spring MVC, Spring Boot, JUnit, Mockito

• Cloud Technologies: AWS, GCP, Azure

• Tools and Services: Linux, Unix, Docker, Kubernetes, GitHub, Jenkins, Jira, Agile, Kanban, CI/CD, DevOps, RESTful APIs, Microservices, Gradle, Maven, Zookeeper, Kafka, ActiveMQ, JDBC, JPA, Android, iOS, IaaS, PaaS, SaaS, Networking WORK EXPERIENCE

Morgan Stanley (Senior Software Engineer), Bangalore, India Oct 2019 - Aug 2023

• Developed a scalable ETL tool using Java, Spring Boot, and PostgreSQL, handling large data streams via ActiveMQ, and generating regulatory reports for 15M+ data volume

• Built a full stack notification system to facilitate real-time feedback on reports, reducing reject analysis and resolution time by 80%

• Coordinated and executed large-scale migration of legacy applications to distributed infrastructure, implemented microservices architecture with 60+ RESTful web services, boosting front-end and back-end system performance by 70%

• Led a team of 5 members to develop an order management platform, process real-time transactional data from order entry systems, perform data validations, and filtrations for approximately 10 million orders per day Hewlett Packard Enterprise (Senior Software Engineer), Bangalore, India Jan 2016 - Sept 2019

• Developed and tested feature enhancements for the TCP/IP subsystem of mission-critical servers (NON-STOP) with C++ and Python, ensuring fault tolerance and high availability

• Designed a machine learning-driven solution to predict issues with new feature deployments, providing recommendations for risk mitigation and ensuring seamless prod deployments

• Constructed a test automation framework with Python and MySQL to run test suites parallelly from GUI, cutting down testing time by 65%, and enhancing logging and troubleshooting capabilities

• Crafted comprehensive test plans, and created unit and integration test cases using Mockito and JUnit, resulting in a 90% increase in code coverage and optimization of quality assurance processes Tata Consultancy Services (System Software Engineer), Bangalore, India Aug 2015 - Dec 2015

• Implemented robust CI/CD pipelines and automated deployment processes with Jenkins, GitHub, and Ansible, resulting in accelerated software delivery cycles, improved code quality, and increased team productivity with DevOps best practices

• Removed critical bottlenecks, restructured database through partitioning, and orchestrated parallel processing via multithreading, resulting in overall performance gains of 60%

• Collaborated closely with cross-functional teams, and clients to document project requirements, address complex business challenges, and establish project milestones, leading to a significant 35% reduction in project delivery timelines PROJECTS

• Facial Attendance Tracking System (Python, TypeScript, React, ML, AWS): Built a facial recognition system for effective and secure employee attendance tracking, resource management, and data analytics for hybrid work settings. Leveraged AWS Rekognition, Lambda functions, API Gateway, EC2, DynamoDB, S3, SNS, and CloudWatch

• Cloud-Based File Storage Drive (Java, Spring Boot, REST, JavaScript, React, AWS): Created a secure, scalable, and distributed file storage web application on the AWS Cloud. Utilized EC2, Load Balancers, Auto Scaling, S3, and CloudFront to enable users to store and efficiently manage files

ACHIEVEMENTS AND EXTRACURRICULARS

• Lead with Exceptional Ideas Award at Morgan Stanley, 2022, for taking initiative to achieve parallel processing in application minimizing processing time by 65%

• Putting Client First Award at Morgan Stanley, 2021, for delivering options trade reporting for Advisory and Brokerage orders with zero defects



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