Trade Reporting Process MQ Migration

Project Overview

The Trade Reporting Process MQ Migration was a comprehensive enterprise initiative to modernize trade reporting from ODBC-based processing to real-time MQ (Message Queue) integration. This complex project involved developing C# orchestration solutions, implementing real-time API interactions, and refactoring core stored procedures to enable immediate trade processing and security master data acquisition. The migration eliminated batch processing delays and enabled real-time trade reporting capabilities.

Key Achievements

• Migrated from ODBC to MQ for real-time trade processing
• Developed C# orchestration solution for trade processing workflow
• Implemented real-time API integration for trade data acquisition
• Created real-time security master data requests leveraging the new security master data license process
• Refactored main stored procedure for optimized trade table insertion
• Coordinated development across multiple teams and resources
• Eliminated batch processing delays for immediate trade reporting
• Enhanced real-time capabilities for trade data processing
• Improved system responsiveness and data freshness
• Delivered enterprise-scale real-time trade processing system

Technical Architecture

Core Components

1. MQ Integration

   • Message Queue integration for real-time trade data processing
   • Minimal data capture and processing for efficiency
   • Real-time data flow and orchestration
   • Automated message handling and processing

2. C# Orchestration

   • Trade processing workflow orchestration
   • API integration for trade data acquisition
   • Real-time security master data requests
   • Error handling and exception management

3. Database Processing

   • Refactored stored procedures for optimized data insertion
   • Real-time trade table updates and processing
   • Security master data integration and validation
   • Performance optimization for high-volume processing

4. API Integration

   • Real-time trade data API interactions
   • Security master data API requests
   • Automated data acquisition and processing
   • Error handling and retry mechanisms

Business Impact

• Real-time Processing: Eliminated batch processing delays for immediate trade reporting
• Data Freshness: Enhanced data quality through real-time security master data acquisition
• System Responsiveness: Improved trade processing speed and efficiency
• Operational Efficiency: Streamlined trade reporting with automated processing
• Risk Management: Enhanced real-time trade monitoring and reporting
• Cost Optimization: Reduced manual intervention and support requirements

Implementation Results

Before Migration

• ODBC-based trade processing with batch delays
• Evening data license process for security master data
• Limited real-time capabilities and data freshness
• Manual processing and intervention requirements
• Delayed trade reporting and monitoring

After Migration

• MQ-based real-time trade processing
• Immediate security master data acquisition
• Enhanced real-time capabilities and data freshness
• Automated processing with minimal manual intervention
• Immediate trade reporting and monitoring

Technology Stack

• C#: Primary development language for orchestration and API integration
• MQ (Message Queue): Real-time message processing and data flow
• SQL Server: Database platform and stored procedure development
• API Integration: Real-time data acquisition and processing
• Stored Procedures: Optimized database processing and data insertion

Key Features

MQ Integration

• Real-time message processing for trade data
• Minimal data capture for efficient processing
• Automated message handling and orchestration
• Error handling and retry mechanisms

C# Orchestration

• Trade processing workflow orchestration and management
• API integration for real-time data acquisition
• Security master data requests leveraging the new license process to request and parse responses dynamically
• Error handling and exception management

Database Processing

• Refactored stored procedures for optimized performance
• Real-time trade table updates and processing
• Security master data integration and validation
• High-volume processing optimization

API Integration

• Real-time trade data API interactions
• Security master data API requests with dynamic response parsing
• Automated data acquisition and processing
• Error handling and retry mechanisms