SRUTHY T P

DIBI

• Developed and enhanced DI online API, a data Integration platform to support comsumer risk assessment and decision making and which allows
• Worked on API-driven data retrieval mechanisms,allowing upstream systems(IC) to pull or push consumer data efficiently for Financial analysis.
• Built RESTful APIs using Spring Boot, incorporating request validation and database Interaction for secure and scalable data processing
• Integrated batch data ingestion from telecom providers ensuring real time and historical data availability

IC-SaaS

• Involved in understanding the business requirements/client interaction and development
• Actively involved in troubleshooting and debugging the application issues
• Upgrade framework dependencies and fix security issues
• Works in a team environment employing Agile Development (Scrum)
• Debugged complex software issues, leading to a more stable product release.
• Participated in regular code reviews, ensuring high-quality standards were consistently met across all development efforts.
• Adapted quickly to new technologies and programming languages, enhancing overall team productivity.
• Worked closely with clients to gather requirements and translate them into technical specifications for implementation.

DATAX

• Involved in onboarding multiple contributors to client datalake with over 97% accuracy from legacy systems
• Each contributor involves, ETL processing done through Dataflow jobs written in Apache Beam Java SDK
• Improved software efficiency by troubleshooting and resolving coding issues.
• Executed Big Data Processing, Data Cleansing and Data Standardization
• Conversion of perl written logic to java rules

IC Backward Compatibility

• Good Exposure on Junit Testing
• Works in a team environment employing Agile Development (Scrum)
• GCS Legacy - Bug fixes
• SVN to Gitbucket migration
• Captcha Implementation and various other Development and Deployment activities in eQuicom project
• Works in a team environment employing Agile Development (Scrum)
• Saved time and resources by identifying and fixing bugs before product deployment.