Project Management Spring Boot

Hasini Reddy

Email: **********@*****.***

Ph.No: +1-901-***-****

Professional Summary:

Full Stack Engineer fluent in C, C++, Java, and Python, with comprehensive experience in AWS, Azure, and Google Cloud platforms. Skilled in building and maintaining web applications using HTML, CSS, JavaScript, ReactJS, and Spring Boot, and adept at integrating RESTful APIs. Experienced with SQL & NoSQL databases. Proficient in code testing with JUnit, source control with Git and GitHub, and networking protocols including TCP/IP and HTTP. Effective in project management using Jira and experienced in all phases of the software development life cycle (SDLC) following Agile methodologies.

Technical Skills:

Languages: Java, C, Python, C#, C++ Frameworks: Spring MVC, Spring Boot, Angular Web Technologies: HTML, CSS, JavaScript, TypeScript, React, Redux, RESTful API, Bootstrap, JSON Database: SQL, MySQL, PostgreSQL, MongoDB Cloud: AWS, Azure, GCP Testing: JUnit, Selenium Source and Version Control: Git, GitHub, ADO, Continuous Integration & Continuous Deployment Containerization and Orchestration: Docker, Kubernetes Architecture: Microservices Project Management Tool: Jira Operating Systems: Windows, Linux/Unix, macOS AI Technologies: Machine Learning, LLMs, NLP, Problem solving Bigdata Technologies: Apache Spark, Hadoop, Apache Kafka

Software Engineer

Claftech aug 2023 – aug 2024

Key’s & Responsibilitie’s:

Designed, developed, and deployed high-performance Java-based applications using J2EE and Spring Boot, meeting both functional and non-functional requirements.

Built and optimized CI/CD pipelines using Jenkins, Docker, and Kubernetes, automating integration, testing, and deployment to ensure continuous delivery.

Integrated Kafka for seamless event streaming and real-time data synchronization between Elasticsearch/Logstash and other systems.

Deployed and managed Kafka Connect with custom connector development for efficient system integrations, ensuring data consistency and minimal downtime.

Implemented robust ETL processes to extract, transform, and load data from various sources into Amazon Redshift, improving data availability and accessibility.

Experience with AWS Cloud services, including EC2, S3, Lambda, RDS, and others for cloud infrastructure and deployment.

Strong understanding of the Software Development Life Cycle (SDLC), contributing to various stages including design, development, testing, and maintenance.

Developed predictive analytics solutions using machine learning models, leveraging Python and big data tools to forecast trends and identify patterns.

Designed and implemented Kibana dashboards for real-time monitoring and visualization, enabling data-driven decision-making.

Collaborated with cross-functional teams to deploy and maintain secure and scalable environments on AWS, Azure, and GCP platforms.

Enhanced application security by implementing JWT, OAuth 2.0, and SSO for user authentication and authorization.

Configured and monitored Elastic clusters, ensuring high availability, scalability, and fault tolerance for large-scale data operations.

Automated system testing using tools such as Ansible, Selenium, and JMeter, significantly reducing manual efforts and improving testing accuracy.

Spearheaded the deployment of containerized applications with Kubernetes, ensuring reliability and scalability in production environments.

Identified and mitigated technical risks through proactive system monitoring and performance tuning with tools like Dynatrace and AppDynamics.

Environment: Java, J2EE, Spring Boot, Kafka, AWS, Docker, Kubernetes, Elasticsearch, Jenkins, Dynatrace, AppDynamics

Agile crm

Software Engineer july 2020 – nov 2021

Key’s & Responsibilities:

Assisted in the development, testing, and debugging of Java applications, focusing on ensuring data accuracy and system reliability.

Designed and implemented user interfaces for web applications using Angular and ReactJS, ensuring responsiveness and scalability.

Developed and maintained RESTful APIs to support application functionality and integrate with external services.

Supported the setup of CI/CD pipelines, configuring automated build triggers and reducing deployment times by 15%.

Worked closely with senior developers to improve code quality by following best programming practices and troubleshooting complex issues.

Led the design and development of full life-cycle data privacy solutions for large-scale big data infrastructures, ensuring privacy compliance across multiple platforms.

Built high-performance backend services for handling large volumes of data with a focus on security and privacy.

Worked closely with Infra, Product, and Policy teams to drive initiatives for privacy and data governance, aligning technical solutions with policy requirements.

Explored and implemented cutting-edge privacy technologies to ensure the platform's adherence to global privacy standards (e.g., GDPR, CCPA).

Improved database efficiency by writing and optimizing SQL queries, enhancing reporting and ETL processes.

Collaborated with senior developers and project managers to define technical tasks and align them with project milestones.

Conducted unit and integration testing using JUnit, ensuring the integrity of code changes and new features.

Optimized front-end application performance by integrating caching mechanisms and minimizing load times.

Worked closely with DevOps teams to deploy software in Dockerized environments, enabling portability across systems.

Participated in Agile ceremonies, including backlog refinement and sprint reviews, contributing to iterative development and continuous improvement.

Environment: Java, Angular, ReactJS, SQL, Docker, Jenkins, Git

Soft Engineer

TATA technologies MAY 2019-JUNE 2020

Key’s & Responsibilities’:

Developed and maintained responsive web applications using ReactJS and AngularJS, ensuring high performance and a seamless user experience.

Designed Kafka producer APIs for real-time data ingestion, enabling efficient processing and storage in MongoDB.

Built and deployed RESTful APIs and web services for integration between client and server applications.

Created dynamic dashboards and visualizations using Kibana, leveraging Elasticsearch data for actionable insights.

Collaborated with cross-functional teams to implement machine learning-based predictive analytics features, improving product recommendations and customer retention.

Improved query execution time by optimizing complex SQL queries and tuning database performance.

Automated the testing of web features using JUnit, Selenium, and JMeter to ensure robust and secure application functionality.

Designed and optimized data marts for reporting using Star Schema and Snowflake Schema methodologies.

Enhanced front-end performance by implementing efficient state management using Redux and optimizing TypeScript code.

Utilized Agile methodologies, participating in sprints, standups, and retrospectives to ensure timely delivery of features.

Environment: Java, ReactJS, Spring Boot, Kafka, Elasticsearch, MongoDB, JUnit, Selenium, Kibana

EDUCATION

Master’s in management information systems

Academic Projects

Shopping Cart Application Technologies: HTML, CSS, JavaScript, React, Redux, Node.js, Express, MySQL, JWT, AWS EC2

Developed an e-commerce shopping cart application where users can browse products, add items to the cart, and place orders. The front end was built using React for an interactive interface with state management handled by Redux. The backend, powered by Node.js and Express, handled API requests and managed data with MySQL. Implemented JWT-based authentication for secure user login, order tracking, and profile management, and deployed the app on AWS EC2 for hosting.

Healthcare Management System Technologies: ReactJS, Spring Boot, MongoDB, Postman

Built a full-stack healthcare management system allowing hospitals to manage patient records, appointments, and billing with role-based authentication. The front end was developed in ReactJS with role-specific dashboards for patients, doctors, and admins, while the backend used Spring Boot to implement RESTful APIs for scheduling and billing. MongoDB was used to store medical records securely, and Postman was used to validate API integration and data integrity.

Sentiment Analysis of Customer Reviews Technologies: Python, Natural Language Processing (NLP), Machine Learning,

Developed a sentiment analysis system to classify customer reviews as positive, negative, or neutral using machine learning and NLP techniques. Scraped Amazon data using BeautifulSoup, applied preprocessing steps like tokenization, and trained models such as Logistic Regression and SVM to extract insights for product improvements.

CERTIFICATION

AWS Certified Solutions Architect – Associate

Java Certification course

Contact this candidate