Fullstack Java Developer

• Delivered a low latency, high throughput Java based application trigger to TADS specifications, ensuring alignment with Oracle OWS-based Financial Crime Screening platform best practices.
• Implemented and deployed innovative concurrency & parallel processing models using Java, Groovy, Bash Shell and PL/SQL to enhance throughput capabilities during screening workflows and improve sanctions alert processing.
• Engineered automation scripts in UNIX (IBM AIX, Red Hat Linux) to eliminate repetitive operational tasks, improving efficiency across multiple FinCrime alerting states.
• Consumed and transformed data from diverse sources, integrating outputs into downstream applications and updating upstream systems as needed for screening accuracy.
• Implemented complex SQL queries, stored procedures, and performance tuning strategies to optimize large-scale Oracle database operations for screening data.
• Delivered defect-free solutions in live environments, ensuring service stability through proactive root cause analysis and knowledge base creation.
• Collaborated with Financial Crime Technology stakeholders, 1st and 2nd Line of Defence, and solution architects to manage delivery expectations, risks, and dependencies.
• Conducted proof-of-concept projects to evaluate and integrate emerging technologies in alignment with Barclays’ transformative innovation strategy, including API-driven microservices.
• Developed RESTful web services for low latency real-time screening integrations, leveraging Apache Tomcat and secure messaging protocols (JMS/MQ).
• Produced technical documentation, low-level designs, and status reports to support compliance, audit, service management, change delivery and internal governance requirements.

Key achievements:

• Successfully implemented real-time screening service integration with downstream risk systems, enabling faster detection of high-risk transactions.
• Innovated new functionality by incorporating real-time API calls into the screening engine leveraging Groovy script, enabling real-time sanctions block/unblock functionality.

• Architected and developed a high-performance, high-throughput, low-latency microservices-based insurance broker service using Spring Boot, Hibernate, Maven, Azure VM, Docker, and Kubernetes, achieving 99% success rate in response times under peak load.
• Utilized Azure Container Registry and Azure Kubernetes Service for microservices deployment and container orchestration.
• Developed predictive models for customer behavior analysis and implemented machine learning algorithms using Python, Pandas, and NumPy to optimize underwriting processes and derive actionable insights.
• Improved performance by optimizing SQL execution plans for high-volume data retrieval, enhancing data throughput by 60%.
• Practiced test-driven development using JUnit, Mockito, and Spring Testing, contributing to a 45% reduction in production bugs.
• Utilized the ELK stack for log aggregation, analysis, and visualization enabling proactive monitoring and alerting for critical system components.

• Developed an ISO 8583 transaction processing payment gateway using the JPOS library, ensuring high-throughput communication between middleware services and Postilion FEP systems for MasterCard and VISA foreign currency transactions.
• Implemented middleware automation scripts to digitalize the bank’s e-commerce, card payments, and regulatory reporting functions.
• Automated retrieval of payment reconciliation data from 3rd party payment platforms powered by MasterCard, Visa, and Postilion for operational and dispute management processes.