AKASH SATYEDEV

• Integrated Kafka and Redis to create a real-time data pipeline, enhancing system performance and scalability. This setup facilitated efficient data processing and communication between microservices, enabling the application to handle high-throughput data streams effectively.
• Implemented Redis as a caching solution, significantly improving response times and reducing database load, resulting in a faster, more reliable user experience.
• Implemented security filters, user role management solutions, and OAuth2 integration.
• Led the migration from Java 1.8 to Java 21, refactoring code to leverage new language features and performance enhancements, while adhering to best practices.
• Applied Spring AOP for efficient management of cross-cutting concerns including logging and transaction management.
• Maintained scalable solutions enhancing overall system performance.
• Developed and maintained Java applications using Spring Boot and Microservices architecture, improving system scalability and performance. Utilized Hibernate/ORM frameworks to enhance data access efficiency by 30%.
• Applied a solid understanding of REST APIs, JSON, and API-driven development, ensuring seamless integration and communication between services.
• Optimized existing systems' performance by identifying and addressing bottlenecks.
• Collaborated with cross-functional teams to gather requirements and translate them into technical specifications, ensuring alignment between business objectives and technical solutions. Mentored junior developers on best practices in system design, coding standards, and effective use of frameworks, fostering a culture of continuous learning and improvement.
• Contributed to design reviews, improving reliability aspects.
• Known for effectively addressing technical malfunctions promptly.
• Streamlined code validation processes with JUnit and Mockito, elevating testing standards by 36%.

Key Achievement:

• Reduced memory consumption issues to enhance app stability by 40%.
• Integrated Drools Engine to optimize microservices performance.