PRAVIN MITTAL
Program Manager | Payments & Digital Lending Transformation
"I help banks and fintechs deliver payment and lending programs 30% faster and 20% cheaper through my D3 Framework — Define, Drive, Deliver."
My D3 Framework — Define | Drive | Deliver
A structured delivery model to accelerate outcomes by 30% and reduce cost by 20%. This proven framework has transformed payment and lending programs across multiple organizations.
DEFINE
Scope, KPIs, RAID, RACI established in week 1
DRIVE
Sprint cadence, CI/CD, vendor alignment, risk control
DELIVER
Cutover, Hypercare, Benefit realization
30%
Time Saved
Faster project delivery
20%
Cost Reduced
Lower implementation costs
100%
Quality
Stakeholder satisfaction
Proven Track Record Across Leading Fintech Organizations
With over a decade of experience in payments and digital lending, I've led transformative programs for industry-leading organizations. My expertise spans payment systems, lending platforms, cloud migrations, and regulatory compliance.
Payment Systems
Led 50+ cross-functional teams delivering complex payment infrastructure upgrades with zero downtime
Digital Lending
Launched greenfield MSME lending platforms with integrated eKYC and decision engines
Cloud Migration
Migrated legacy systems to AWS with improved uptime and reduced infrastructure costs
Case Study: Finastra GPP Implementation
Finastra Solutions / Matrix Payment Services (2024 – Present)
The Challenge: Modernizing Global Payment Infrastructure
Matrix Payment Services faced critical challenges stemming from a fragmented legacy payment ecosystem. The primary objectives were to:
- Consolidate disparate payment platforms into a unified, scalable solution with Finastra Global Payment Plus (GPP).
- Achieve full compliance with evolving regulatory standards including PCI-DSS, PSD2, GDPR, and ISO 20022 mandates across all transaction types (SEPA, SWIFT, domestic real-time payments).
- Ensure zero downtime during migration and subsequent operations for high-volume transactions.
- Improve operational efficiency and reduce infrastructure costs associated with on-premise systems.
- Facilitate rapid integration with diverse core banking systems, fraud detection engines, and external financial APIs.
Strategic Approach & Implementation Details
Leveraging the D3 Framework (Discover, Design, Develop, Deploy), we orchestrated a multi-phased implementation focused on agility, security, and performance:
- Detailed Discovery & Design (3 months): Comprehensive analysis of existing payment flows, data models, and regulatory obligations. Designed a target state architecture based on Finastra GPP on AWS, ensuring scalability and resilience.
- Agile Development & Integration (9 months): Led 5+ dedicated Scrum teams (comprising 50+ engineers, QA, SRE, BAs) in iterative development cycles. Utilized JIRA for backlog management and Confluence for documentation.
- Cloud Migration & Infrastructure (AWS): Executed a phased migration of legacy payment processing to an AWS-native architecture. Components included Amazon EKS for containerized microservices, RDS Aurora for high-availability databases, Kafka for event streaming, and API Gateway for secure external integration.
- Automated Testing & QA: Implemented robust CI/CD pipelines (Jenkins, GitLab CI) with automated unit, integration, and performance testing (JMeter). Conducted extensive UAT with business stakeholders.
- Compliance & Security Integration: Embedded security-by-design principles. Integrated AWS WAF, GuardDuty, and native Finastra GPP security modules. Implemented granular access controls and audit trails to meet PCI-DSS Level 1 requirements and GDPR data handling standards.
- Robust Monitoring & Incident Management: Deployed Prometheus and Grafana for real-time monitoring, complemented by an ELK stack for centralized logging and proactive incident detection.
Technical Architecture & Tooling
- Core Payment Engine: Finastra Global Payment Plus (GPP)
- Cloud Platform: Amazon Web Services (AWS)
- Container Orchestration: Kubernetes (EKS)
- Microservices: Spring Boot (Java), Python
- Messaging: Apache Kafka, AWS SQS
- Databases: AWS RDS (PostgreSQL/Aurora), DynamoDB
- CI/CD: Jenkins, GitLab CI
- Monitoring: Prometheus, Grafana, ELK Stack
- Security: AWS WAF, GuardDuty, IAM, Finastra Security Modules
- Integration: RESTful APIs, SFTP, MQ (IBM MQ)
- Data Migration: Custom ETL scripts, AWS DMS
Regulatory & Compliance Focus
- PCI-DSS Level 1 Certification: Achieved and maintained for secure card data processing.
- PSD2 Strong Customer Authentication (SCA): Implemented and verified for compliant transaction processing.
- GDPR Data Residency & Privacy: Ensured data handling procedures aligned with EU regulations.
- ISO 20022 Adoption: Successfully transitioned payment messaging formats.
40%
SLA Breaches Reduced
Decrease in critical payment processing service level agreement breaches, improving client trust and operational stability from 5% to 3%.
50%
Critical Incidents Decrease
Reduction in high-priority operational incidents post-migration, enhancing system reliability and reducing resolution times by an average of 30%.
45%
Infrastructure Cost Savings
Achieved through optimized cloud resource utilization, decommissioning of legacy hardware, and managed services agreements.
20%
Ahead of Schedule Delivery
Project completed ahead of the initial 18-month timeline, demonstrating efficient project management and execution.
25%
Transaction Throughput Increase
Enhanced processing capacity supporting a 25% increase in daily transaction volume without performance degradation.
99.99%
System Uptime
Achieved an average of 99.99% system uptime for core payment services, exceeding previous benchmarks.
Delivering 4 Finastra Projects Ahead of Schedule
Through strategic planning and the D3 Framework, I delivered four major Finastra projects 18-22% ahead of schedule while maintaining quality and reducing costs. This achievement demonstrates the power of structured program management combined with technical expertise.
1
Q1 2024
GPP Configuration & Setup
2
Q2 2024
Cloud Migration Phase 1
3
Q3 2024
Integration & Testing
4
Q4 2024
Production Rollout
Case Study: MSME LOS Greenfield Implementation
CRIF Solutions (2023 – 2024)
Launched a comprehensive MSME Loan Origination System in just 8 months, integrating multiple complex systems including eKYC, bureau pulls, decision engine, and core banking. This greenfield project required coordinating multi-geography PMO governance while maintaining aggressive delivery timelines.
eKYC Integration
Seamless customer verification
Bureau Pulls
Automated credit checks
Decision Engine
AI-powered approvals
Core Banking
End-to-end integration
25%
TAT Reduction
Average turnaround time decreased
7.5%
Approval Rate Increase
More loans approved efficiently
Case Study: LMS Cloud Migration Success
Jocata Financial Advisory Ltd (2022 – 2023)
Jocata Financial Advisory Ltd undertook a critical initiative to modernize its core Lending Management System (LMS) infrastructure. This case study details the comprehensive cloud migration project, moving a legacy on-premise system to AWS, focusing on enhancing performance, security, and cost efficiency while ensuring business continuity.
1. The Challenge
Jocata faced significant challenges with its existing on-premise LMS, which was a monolithic application running on aging hardware. Key issues included:
- High Operational Costs: Escalating maintenance, cooling, and power expenses for on-premise servers.
- Limited Scalability & Performance: Inability to rapidly scale resources during peak demand, leading to performance bottlenecks and service degradation.
- Suboptimal Uptime & Resilience: Frequent downtime due to hardware failures and a lack of robust disaster recovery mechanisms.
- Security Vulnerabilities: Outdated security protocols and a complex compliance landscape made it challenging to meet evolving regulatory requirements.
- Technical Debt: The legacy architecture hindered feature development and integration with new fintech innovations.
The business context demanded an agile, scalable, and secure platform to support rapid growth, new product launches, and evolving customer expectations in the highly competitive financial advisory sector.
2. Implementation Approach & Methodology
The project adopted a hybrid agile methodology, combining iterative development cycles with a structured, phased migration plan. The approach was broken down into the following key phases:
01
Phase 1: Discovery & Assessment
Detailed analysis of the existing LMS architecture, dependencies, performance metrics, and security posture. This included application profiling, data sizing, and stakeholder workshops to define success criteria.
02
Phase 2: Planning & Design
Architecting the target AWS cloud environment, selecting appropriate services (IaaS, PaaS), defining network topology, security groups, data migration strategy, and a comprehensive cutover plan. A "lift-and-shift" strategy was primarily used for core components, with selective re-platforming for databases.
03
Phase 3: Migration & Deployment
Sequential migration of application components and data to AWS. This involved setting up staging environments, performing rigorous testing, and using Infrastructure as Code (IaC) for consistent deployments.
04
Phase 4: Optimization & Validation
Post-migration performance tuning, cost optimization (reserved instances, auto-scaling), security audits, and user acceptance testing (UAT). Comprehensive monitoring and logging solutions were established.
3. Technical Architecture & Tools
The new LMS architecture on AWS leveraged a suite of services for high availability, scalability, and security:
- Compute: Amazon EC2 instances for application servers, configured with Auto Scaling Groups for elasticity.
- Database: Amazon RDS (PostgreSQL) for managed relational database services, ensuring high availability with multi-AZ deployment.
- Storage: Amazon S3 for static content and backups, Amazon EBS for EC2 volume storage.
- Networking: Amazon VPC for isolated network environments, AWS Direct Connect for secure hybrid connectivity, Application Load Balancers (ALB) for traffic distribution.
- Security: AWS IAM for access control, AWS WAF for web application firewall, AWS Security Hub for posture management, KMS for encryption.
- Monitoring & Logging: Amazon CloudWatch for metrics, AWS X-Ray for distributed tracing, ELK stack (Elasticsearch, Logstash, Kibana) for centralized log management.
- CI/CD: AWS CodePipeline, CodeBuild, and CodeDeploy for automated software delivery.
- Containerization (future phase): Initial steps taken with Docker, preparing for Amazon EKS adoption.
- Automation: AWS CloudFormation for Infrastructure as Code (IaC), reducing manual configuration errors.
4. Key Results & Impact
The migration delivered significant improvements across critical business and technical metrics:
20%
Cost Savings
Infrastructure expenses reduced within the first year.
35%
Uptime Improvement
System availability increased, minimizing business disruption.
70%
Incident Reduction
Severity-1 incidents decreased post-migration due to improved stability.
15%
Performance Boost
Average transaction processing time reduced, enhancing user experience.
99.99%
SLA Achievement
Consistent achievement of critical system uptime SLAs.
5. Team Structure & Stakeholder Management
A dedicated cross-functional team, comprising solution architects, DevOps engineers, security specialists, and QA testers, led the project. Regular steering committee meetings, transparent communication channels, and a robust change management strategy ensured all stakeholders, including business users and senior management, were aligned and informed throughout the migration process.
6. Risk Mitigation Strategies
Proactive risk identification and mitigation were central to the project's success:
- Data Loss/Corruption: Implemented multi-stage backup and restore procedures, point-in-time recovery for databases, and rigorous data validation post-migration.
- Downtime During Cutover: Employed a phased migration with blue/green deployment strategies where feasible, and detailed rollback plans. Minimized cutover window through extensive pre-testing.
- Security Breaches: Conducted regular penetration testing, vulnerability assessments, and adhered to AWS best practices for security (e.g., least privilege access, WAF rules, encryption at rest and in transit).
- Cost Overruns: Continuous cost monitoring, resource tagging, and right-sizing EC2 instances. Leveraged AWS Cost Explorer for budget management.
- Performance Regression: Extensive load testing in pre-production environments and A/B testing post-migration to ensure performance parity or improvement.
7. Integration Challenges & Solutions
Integrating the LMS with existing internal systems (e.g., CRM, data warehousing) and external APIs (e.g., credit bureaus, payment gateways) posed several challenges. These were addressed by:
- Developing a robust API gateway (Amazon API Gateway) for managing and securing external integrations.
- Utilizing AWS Lambda for serverless orchestration of data flows between systems.
- Implementing message queues (Amazon SQS) for asynchronous communication, decoupling systems and improving resilience.
- Standardizing data formats and protocols to minimize transformation overhead.
8. Post-Migration Optimization & Continuous Improvement
The migration was not a one-time event but the beginning of a continuous improvement journey. Initiatives include:
- FinOps Implementation: Ongoing cost optimization through reserved instances, spot instances for non-critical workloads, and right-sizing.
- Serverless Adoption: Gradually refactoring suitable modules to AWS Lambda and Step Functions to further reduce operational overhead.
- AI/ML Integration: Exploring the use of Amazon SageMaker for credit scoring models and predictive analytics within the LMS data.
- Disaster Recovery Enhancement: Implementing a multi-region DR strategy for even higher resilience.
9. Lessons Learned & Best Practices
Key takeaways from the project included:
Early Stakeholder Engagement
Crucial for aligning business and technical objectives and managing expectations.
Thorough Discovery Phase
Underestimating the complexity of legacy systems can lead to delays; comprehensive assessment is vital.
Invest in Automation
IaC and CI/CD pipelines significantly accelerate deployment, reduce errors, and improve consistency.
Robust Monitoring & Observability
Essential for proactive issue detection, performance tuning, and security incident response in the cloud.
10. Detailed Project Timeline
Q4 2022: Discovery & Assessment
Initial project kickoff, legacy system audit, requirements gathering.
Q1 2023: Architecture Design & PoC
AWS architecture finalized, security baselines established, Proof of Concept for critical components.
Q2 2023: Development & Migration (Phase 1)
Setting up infrastructure with IaC, migrating core application modules, initial data sync.
Q3 2023: Migration (Phase 2) & Testing
Database migration, integration testing, performance and security testing, UAT.
Q4 2023: Go-Live & Post-Migration Optimization
System cutover, hypercare support, initial optimization and cost management.
Leadership Philosophy: Servant Leadership Meets Strong Governance
I combine servant leadership principles with robust governance frameworks to ensure predictable outcomes and trusted delivery partnerships. My approach empowers teams while maintaining accountability and transparency throughout the project lifecycle.
Empowerment
Enable teams to make decisions and take ownership of their work while providing guidance and support
Transparency
Maintain open communication channels and clear visibility into project status, risks, and dependencies
Accountability
Establish clear roles, responsibilities, and success metrics to drive consistent delivery excellence
Collaboration
Foster cross-functional partnerships and stakeholder alignment to achieve shared business objectives
Professional Certifications & Expertise
Continuous learning and professional development are core to my approach. I maintain industry-leading certifications that validate my expertise in program management, agile methodologies, IT service management, and process improvement.
Certified ScrumMaster
Agile project delivery
PMP Trained
Project management excellence
PRINCE2
Structured methodology
ITIL V4
Service management
Six Sigma Green Belt
Process optimization
Let's Connect
Ready to accelerate your payment or lending transformation? I'm available for consulting engagements, program management roles, and strategic advisory opportunities. Let's discuss how the D3 Framework can deliver results for your organization.
