Dynamic IT leader with a proven track record at Cognizant Technology Solutions, excelling in IT service delivery and cloud transformation. Expert in process automation and stakeholder management, I spearheaded initiatives that achieved 99.9% system uptime and reduced deployment times by 70%, driving significant operational efficiency and client satisfaction.
Overview
18
18
years of professional experience
1
1
Certification
Work History
Founder & Principal Solutions Architect
Aquilanz LLC
06.2023 - Current
Leading AI, Cloud, and Mainframe Modernization research and implementation for the banking & financial services industry
Refactored and rearchitected legacy mainframe applications using AWS Blu Age, ensuring cloud readiness
Implemented AWS CI/CD pipelines, reducing deployment time by 70% and manual intervention by 60%
Designed and optimized API integrations for legacy applications, improving interoperability and response times by 35%
Authored 'The Evolution of Chatbots: Cloud and AI Synergy in Banking Customer Interactions' in JETIR
Researched predictive analytics models for fraud detection in banking, enhancing cybersecurity risk assessments
Service Delivery Manager
Cognizant Technology Solutions
07.2016 - 03.2023
Oversaw enterprise-wide IT service delivery & modernization for major clients: Macy’s, CVS, First Data Bank, Northern Trust Bank
Led a 45-member cross-functional team across USA, Canada, Mexico, and India, ensuring seamless 24/7 IT operations
Improved SLA adherence to 100%, preventing service escalations and client dissatisfaction
Achieved 99.9% system uptime, enhancing service reliability and business continuity
Implemented ITIL service frameworks, cutting down repetitive incidents by 40% through automation
Designed and integrated AI-driven issue detection models, reducing incident response time by 35%
Standardized governance processes, creating custom dashboards for real-time KPI tracking
Spearheaded $20M+ in project bidding, successfully securing long-term service contracts
Managed multi-million-dollar DevOps & IT transformation initiatives, improving cost efficiency and project ROI
Implemented Blue Prism RPA & UiPath, automating routine IT processes and reducing manual effort by 50%
Developed self-healing automation scripts, leading to 30% faster issue resolution
Incident Reduction: 40% through RPA-based automation
Cost Savings: $110K+ per year via automation and process improvements
System Uptime: 99.9%, ensuring seamless IT operations
Deployment Efficiency: Reduced deployment cycle times by 70% through AWS CI/CD integration
Project Lead
Cognizant Technology Solutions
03.2014 - 06.2016
Client: Northern Trust Bank (Ops-Ent-RISK Derivatives Applications Maintenance)
Led a team of 20+ mainframe developers & support engineers managing derivatives applications across Northern Trust’s Risk, GAM, Cash, and GSL business lines
Modernized legacy COBOL applications, reducing execution time by 30% through code optimization and structured re-engineering
Migrated batch jobs to modernized pipelines improving job execution efficiency by 25%
Led impact analysis for new enhancements and regulatory changes, ensuring seamless integrations with financial risk systems
Created pseudo-code and technical documentation, guiding developers on COBOL/DB2 program modifications
Designed DB2 database optimizations, improving SQL query execution time by 40%
Managed Level 2 & Level 3 support for mainframe applications, ensuring 99.5% SLA compliance in resolving production incidents
Automated incident triaging using AI-based anomaly detection, reducing Mean Time to Resolution (MTTR) by 35%
Implemented batch monitoring scripts, detecting and self-healing failures, cutting down manual interventions by 50%
Ensured compliance with SOX, Basel III, and other banking regulations, preparing audit reports for risk management
Optimized CICS transactions, enhancing real-time risk assessment performance by 20%
Reduced COBOL program execution time by 30%, optimizing financial derivatives processing
Increased transaction handling efficiency by 40% through DB2 query optimizations
Achieved 99.5% SLA compliance in resolving critical IT incidents
Reduced batch failures by 50% through automation & predictive monitoring
Ensured 100% compliance with banking regulations through automated auditing processes
Team Lead
IBM India Pvt Ltd
Chennai, India
09.2010 - 03.2014
Client: TD Bank, Canada (Credit Card Processing & Authorization)
Led a team of 15 engineers, handling credit card transactions, risk assessment, and vendor integrations with TSYS (Third-Party System)
Migrated legacy COBOL programs from monolithic architecture to modular, reusable routines, improving system scalability
Optimized batch processes, reducing transaction processing time by 20% and improving daily settlement cycle efficiency
Conducted SQL query optimization on DB2, reducing average transaction response time by 15%
Introduced real-time fraud detection mechanisms using IMS-DB, enhancing security & compliance for 50+ stakeholder groups
Migrated VSAM files to DB2 tables, improving data retrieval speeds by 25% and reducing operational costs
Implemented automated reconciliation reports, reducing manual errors in transaction settlement by 30%
Designed and deployed CICS-based transaction security enhancements, minimizing unauthorized access risks
Led SOX compliance audits, ensuring 100% adherence to regulatory standards
Developed and maintained the Documents Subsystem as part of the offshore team’s functionality and business requirements for change requests and enhancements
Designed system specifications and pseudo-code for new feature implementations
Developed and optimized COBOL programs to enhance document processing
Prepared test scenarios and datasets for unit and system testing
Executed unit testing and system testing, ensuring defect-free deployments
Provided production support for daily and monthly batch cycles, ensuring seamless operations
Collaborated with cross-functional teams to resolve defects and enhance performance
Improved policy document generation efficiency by 20% through code optimization
Reduced batch cycle failures by 30% by enhancing system stability
Automated recurring manual tasks, enhancing operational efficiency and reducing workload
Contributed to the successful migration of legacy components, improving system scalability