ARIFFIN MAHFOOJ ALI

• Managed and supported containerized applications on Kubernetes and OpenShift platforms.
• Built and maintained Infrastructure as Code (IaC) using Terraform for scalable and repeatable deployments.
• Design and manage CI/CD pipelines using Jenkins to enable seamless build, integration, and deployment processes across environments.
• Automate operational and maintenance tasks using Unix shell scripting, improving system efficiency and reducing manual effort.
• Collaborating with cross-functional stakeholders, business users, and architects to gather requirements, define scope, and ensure delivery of highly available and scalable services.
• Continuously evaluate system performance, scalability, and cost optimization, contributing to long-term architectural improvements.
• Administered production incidents (P1/P2), performed root cause analysis, and implemented measures to enhance system stability and reliability.
• Enhanced data platform architecture by integrating AWS and GCP services to improve functionality.
• Work closely with Data Lake Architects to identify functional gaps in existing cloud data architecture and define scalable solutions aligned with evolving business needs.
• Develop and maintain data pipelines using AWS Glue, including creation of crawlers, catalog tables, and ETL jobs for efficient data processing.

• Designed and enhanced Ab Initio graphs and plans by implementing new business logic and performance tuning techniques, resulting in optimized execution time.
• Developed SQL views and queries for data extraction, transformation, and reporting in Ab Initio-based systems.
• Analyzed user requirements and translated them into technical solutions through efficient business logic implementation.
• Automated routine operational tasks such as archival and file handling using Unix shell scripting, leading to improved operational efficiency and reduced manual intervention.
• Implemented data validation and duplication check mechanisms (dupcheck) to enhance data accuracy, minimizing production support efforts.
• Supported UAT and production environments by troubleshooting failures, resolving defects, and ensuring minimal downtime.
• Managed code versioning, migration, and deployment using EME, ensuring smooth transition from development to production.
• Collaborated with production support teams to ensure successful deployments and maintain system integrity.

• Successfully designed and implemented a solution from scratch, later adopted across multiple modules.
• Managed deployments across SIT, UAT, and production environments, maintaining data consistency and compliance with release processes.
• Automated code checkout, comparison, and deployment activities across environments using Unix shell scripts.
• Built Ab Initio graphs and plans for data processing, code comparison, and report generation to support business requirements.
• Conducted end-to-end testing of applications and data pipelines to validate functionality, performance, and data accuracy.
• Troubleshot issues in collaboration with cross-functional teams to facilitate smooth execution of project deliverables.
• Received recognition for delivering an innovative solution that resulted in significant cost savings for the client.

• Executed testing cycles in PRESIT environment to validate system changes, ensuring stability for production deployment.
• Provided support for migration of Ab Initio components to Java-based implementations.
• Assisted in troubleshooting and validating modernization efforts, facilitating smooth transitions.

• Designed and implemented ETL workflows to extract, transform, and load data into structured tables for downstream consumption.
• Coordinated with ETL and data teams to implement enhancements and drive system modernization initiatives.
• Developed mortgage data processing systems, managing large volumes of customer data from Citi mainframe sources.
• Maintained data accuracy, integrity, and consistency throughout migration and transformation processes.
• Participated in system transition activities, including migration from legacy Citi Link systems to new data sources such as Cellar.

• Developed and maintained ETL processes using Ab Initio, optimizing data flow for large-scale credit card and collections data.
• Designed data pipelines to process and route incoming data (via NDM transmission) into structured data warehouse tables.
• Worked on GE Capital credit card data, including transaction processing (EFT/non-EFT), statements, payments, and customer master data.
• Ensured timely availability of accurate and reliable data for Business Intelligence and analytics teams, enhancing decision-making capabilities.
• Implemented data standardization and KPI tracking, creating centralized reporting solutions that improved business performance monitoring.

GPA: 67%

GPA: 77.6%

GPA: 79.8%