PRASANNA ADDANKI

Project 1: Payment Gateway Modernization

• Developed and deployed Spring Boot and Spring Cloud microservices for AMEX’s core payment platform, processing over 500K transactions daily across global regions.
• Designed secure and scalable REST APIs for payment authorization and settlement, leveraging Spring Gateway for routing and Spring WebFlux for asynchronous request handling.
• Optimized backend services using Java 8+, Object-Oriented Design Patterns, and multi-threaded programming to handle high-concurrency transaction processing.
• Improved API and database response times by integrating Redis and Hazelcast distributed caching and optimizing queries using Hibernate, JPA, and Oracle PL/SQL, reducing DB load by 35% and query latency by 30%.
• Managed backend workflow orchestration using Netflix Conductor, streamlining fraud checks, payment validations, and settlement services across microservices.
• Automated batch settlement and fraud detection jobs using Apache Airflow, ensuring scheduled and reliable data processing.
• Handled real-time event processing using Kafka, IBM MQ, and RabbitMQ, enabling real-time updates across distributed systems.
• Containerized backend services using Docker and deployed to OpenShift Kubernetes, managing deployments via ArgoCD pipelines to enable automated, zero-downtime releases.
• Focused on Java performance tuning, heap dump analysis, and SQL profiling to resolve bottlenecks and improve backend performance.
• Participated in daily Agile Scrum ceremonies, collaborating with cross-functional teams and contributing to solution design discussions.

Project 2: Fraud Detection and Risk Processing

• Built real-time fraud detection APIs using Kafka and Spring Stream, supporting processing of over 2 million payment events daily for fraud prevention and risk scoring.
• Developed microservices for quantitative financial risk models, integrating with C++ libraries via JNI for performance-critical fraud algorithms.
• Implemented distributed caching via Hazelcast, improving high-risk customer profile lookup times by 40%.
• Automated microservices deployment using GitHub Actions and ArgoCD, implementing blue-green deployment strategies to minimize downtime.
• Created API documentation, service diagrams, and technical workflows to support architecture governance.

Project 1: Loan Origination Automation

• Built backend microservices using Spring Boot, Spring Data, and Spring MVC to automate loan processing workflows, reducing manual loan processing efforts by 30%.
• Designed and exposed backend REST APIs, integrated with Oracle databases using optimized SQL and PL/SQL scripts for managing sensitive customer and loan data.
• Improved backend response speeds using Redis caching for frequent eligibility checks and RabbitMQ for asynchronous loan status updates across banking systems.
• Contributed to unit and integration testing using JUnit, Mockito, and Spring Boot Test, achieving 85% test coverage on critical modules.
• Participated in Agile sprints, peer code reviews, and release activities, supporting stable and timely delivery of banking solutions.

Project 2: Regulatory Reporting Automation

• Engineered backend APIs using Spring Framework and Oracle PL/SQL for automating compliance reporting and regulatory data submissions.
• Automated ETL pipelines and report generation workflows using Apache Airflow, reducing report delivery timelines from 5 days to 2 days.
• Managed SQL-based transaction datasets for generating compliance dashboards across multiple branches.
• Supported backend optimization, documentation, and knowledge sharing within cross-functional teams.