Sai Bollam
Sr Data Engineer
- Role
- Java Engineer at Target
- Location
- Newark, NJ, US
- LinkedIn followers
- 500 followers
About Sai Bollam
5+ years of experience in full-stack software development across all phases of the SDLC, including requirement gathering, design, coding, testing, deployment, and support using Agile methodologies. • Strong expertise in Java, Core Java (OOPs, multithreading, collections, exception handling), and Spring Boot for developing scalable enterprise applications.
Experience
Java Engineer
Aug 2023 — Present · US
Gathered and analyzed business requirements to design and develop robust, scalable enterprise retail applications.• Developed responsive and intuitive user interfaces using HTML, CSS, JavaScript, and ReactJS to enhance customer shopping experiences.• Built core backend services in Core Java, implementing multithreading, collections, and exception handling to ensure high performance during peak shopping periods.• Designed and maintained microservices architecture using Spring Boot and Spring Cloud, enhancing scalability for high-traffic retail transactions.• Implemented RESTful APIs to enable smooth communication between e-commerce front-end systems and back-end services.• Developed modular, testable applications using Spring MVC, Spring IoC, and Struts, following MVC architecture for better code separation and maintainability.• Applied Spring AOP to manage cross-cutting concerns such as logging, authentication, and transaction management across retail applications.• Built centralized state management in React using Context API, ensuring seamless user interactions across shopping carts, product filtering, and checkout flows.• Integrated Hibernate and JPA to optimize relational database interactions, ensuring fast and efficient management of customer and order data.• Developed and optimized SQL queries, stored procedures, and indexing strategies for MySQL to improve the performance of order and inventory management systems.• Incorporated MongoDB to manage unstructured retail data such as customer reviews, promotions, and inventory metadata.• Deployed and managed applications on Apache Tomcat and JBoss servers, ensuring application reliability and performance during high-traffic events like Black Friday and Cyber Monday.• Leveraged Apache Kafka for real-time messaging and inventory synchronization across distributed retail systems.
Education
PVPSIT
Bachelor's degree, Computer Science
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