Sachin Rathore

Accomplished Senior Java Developer with extensive experience at Cognizant, specializing in Microservices and Spring Boot. Proven ability to enhance system performance and streamline CI/CD pipelines. Adept at API Testing and fostering collaboration within teams to drive innovative solutions in fast-paced environments.

• English, Full Professional Proficiency
• Hindi, Full Professional Proficiency

• Cricket
• Travelling
• Trekking

• AXA XL Data Intake, AXA XL, Worked on the AXA XL project, which is part of the insurance domain. The project involved processing PDF documents and images by rendering and extracting relevant data for client use. The extracted data was then stored in Databricks for further analysis and utilization. Additionally, data was retrieved from multiple stored procedures (SPs) to support UI functionalities., 10/25, 05/26
• FDS (Fabric Data Service), FDS is the backend component of RA, responsible for gathering data and information from various sources. The tech stack used for this project includes Java, Spring Boot, Postman (for API testing), and MongoDB. Implemented retry and fallback mechanisms to handle unreliable external APIs.
• RA (Risk Analyst), RA is primarily a user-facing interface that allows users to submit and view reports containing the information they need. The tech stack used for this project includes Java 8, Spring Boot, Microservices, MongoDB, Jenkins, and Kibana. Integrated role-based access control to ensure secure data handling. Enhanced report generation speed by optimizing MongoDB queries.
• Falcon, Falcon is primarily used to monitor how many data points are associated with a single data package and to identify which data package is being utilized by each tenant. The tech stack used for this project includes Java, Spring Boot, Postman (for API testing), and MongoDB. Developed dashboards to visualize tenant-wise data consumption.
• Perfetti, Responsible for handling multiple reports such as order, contact, and outlet reports. Also designed and developed a travel expense module with approval workflows. The tech stack used for this project includes Java, Spring Boot, Postman (for API testing), and MongoDB. Reduced report generation time through effective indexing and query optimization.