Vijaya Lakshmi Vallabhaneni

Client: Goldman Sachs (Onsite at Client Office)

Key Contributions at Goldman Sachs:
ERMF Controls: Designed and implemented the variance-service-framework from scratch to calculate and track daily, monthly, and yearly variances in data feeds/files sent to the Data Lake, ensuring data integrity and regulatory compliance.
CatchIt Remediation (Compliance Mandate): Led a large-scale security compliance effort by auditing codebases, replacing hardcoded credentials with enterprise Credential Vault references, standardizing secure credential usage, and collaborating with DevOps to update configurations, strengthening security posture and ensuring audit readiness.
Entitlements & Loan Segregation: Enhanced the Loans Factory system to segregate confsettle messages based on loan type or business unit, enabling GPS (Global Payment System) to route approvals only to authorized approvers, thereby eliminating cross-divisional approval risks. Implemented access controls across multiple applications to ensure users could only view loans they were permissioned for.
DCAC Integration: Created secure, role-based views for datasets in the Data Lake within Loans Engineering, ensuring sensitive data is only accessible to authorized roles.

L3 Production Support: Provided Level 3 production support for Loans Engineering applications—handled production keystones, collaborated with Ops users to understand issues, investigated and debugged complex scenarios, identified root causes, and implemented fixes to restore service stability.

Key Contribution at NTT DATA (Internal Project):
Leading a Proof of Concept for a BFSI-focused Learning Management System (LMS) leveraging Artificial Intelligence and Retrieval-Augmented Generation (RAG) to deliver domain-specific, context-aware learning experiences.

Tech Stack: Java 8, Spring Boot, REST Web Services, Hibernate, SQL, Microservices, Data Lake, Credential Vault, GPS, DCAC, AI, RAG, Chatbot UI

• Multi-Country Support – Enhanced existing US system to support international listing data (NZ & AU); developed APIs, CRM front-end changes, Oracle queries, and improved validation logic.
• kGen Publishing – Built and tested batch jobs, publishing automations, recurring DBIs; prepared design and requirement documents; integrated with downstream PDF generation system.
• EAT (ERD Automation Tool) – Developed a Java application to automate DB structure change requests, generating Amdocs-standard XML and SQL scripts.
• Report Automations – Created tools to automate reject report generation and email distribution for multiple providers/markets.
• Dexify – Led data migration and interface changes to merge CSS system into kGen; developed batch jobs and integration updates.

Tech Stack: Java 8, Spring Boot, Microservices, Hibernate, Oracle, REST Web Services.

• Completed intensive training in Java, REST API development, and Spring Boot, with hands-on exposure to Hibernate, SQL, and microservices concepts.
• Developed a training project simulating a real-world application, implementing end-to-end RESTful APIs, business logic, and database integration.
• Gained experience in writing clean, maintainable Java code, performing unit testing, and using version control (Git).

Tech Stack: Java 8, Spring Boot, REST Web Services, Hibernate, SQL, Git.