DEVSHANKER BANERJEE

Working on development and enhancement of an Internal product using Java Spring-boot microservices which acts as a portal to automate the process of management, creation and onboarding APIs in different API gateways like Kong, RedHat Threecale etc.

My roles include :-

• Development and enhancement of Spring-boot Microservices to add new features, enhancing performance and fixing bugs.
• Monitored and frequently reported on project status to clients and verified projects met client requirements and quality standards.
• Managed multiple projects simultaneously, ensuring all deadlines were met while maintaining high-quality work standards.
• Enhanced client satisfaction by providing tailored solutions and personalized guidance throughout the consulting process.
• Reviewed and edited client communication documents.

Worked on a retail client project which deals in maintaining products, discounts, getting suggested products etc.

My roles Include:

• Building Spring Boot Microservices as per the user stories.
• Creating and updating API gateway and Service Registry.
• Performing Unit testing using JUnit with Mockito.
• Building Restful web services using Spring boot.
• Building circuit breaker and Hystrix dashboard. Helping teammates by sharing ideas and knowledge

add some more descriptions
Certainly! Here's an expanded version with more detailed descriptions:

Worked on implementing GraphQL on Azure to streamline API management and improve data querying capabilities. Developed a proof of concept (POC) for building a Graph Database using Azure Cosmos DB, designed to efficiently handle very large datasets. This involved:

Architecture Design: Architecting the database schema to optimize performance and scalability.

Query Optimization: Crafting and fine-tuning GraphQL queries for high efficiency and minimal latency.

Data Migration: Executing data migration strategies to ensure seamless data flow into the new Graph Database.

Performance Testing: Conducting rigorous performance tests to validate the handling of extensive data volumes.

Documentation and Training: Preparing comprehensive documentation and conducting training sessions to facilitate smooth adoption by the development team.

This project aimed to leverage Azure’s robust infrastructure to create a scalable and efficient Graph Database solution tailored for large-scale applications.