Real Time Payment Reconciliation System

High performance serverless payment reconciliation system developed for a major Argentine bank with over 6 million active users. The system processes transactions in real time, ensuring accurate reconciliation of millions of monthly operations.

Company:

Confidential

Industry:

Financial Services (Banking)

Scale:

6M+ users, 20M monthly requests

Business Metrics

700K+Reconciled Transactions Monthly
20M+Monthly Requests
99.9%Service Operational Availability
99%Manual Reconciliation Time Reduction

Implemented Solution

Architecture

A fully serverless architecture was implemented using AWS native services, which enabled:

  • Automatic scaling based on demand
  • Optimized costs (pay per use)
  • High availability without server management
  • Rapid deployment through Infrastructure as Code

Main Components

AWS OpenSearch

Real time search and reconciliation engine. Enabled complex searches across millions of transactions in milliseconds.

AWS Lambda

Serverless functions for event processing. Handling business logic, validations, and data transformations.

AWS StepFunctions

Complex workflow orchestration. Coordination of multiple Lambdas for multi step reconciliation processes.

SQS/SNS

Messaging system for asynchronous processing. Service decoupling and load spike handling.

Used Technologies

Backend:
├── Node.js + TypeScript
├── AWS SDK

Infrastructure:
├── AWS CloudFormation
├── AWS Lambda
├── AWS OpenSearch
├── AWS DynamoDB
├── AWS StepFunctions
├── AWS SQS/SNS
└── AWS CloudWatch

Security:
├── AWS IAM Roles & Policies
└── VPC & Security Groups

Business Impact

  • Satisfied users: Instant payment reconciliation that allowed partner businesses to receive their funds faster
  • Operational cost reduction: 99% automation of manual reconciliation tasks
  • Guaranteed scalability: System prepared to grow with the business without architecture redesign
  • Reliability: 99.9% availability for critical business operations
  • Visibility: Real time metrics and dashboards for data driven decision making
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