Accounting Data ETL Refactoring & Middle Office Integration

Project Overview

The Accounting Data ETL Refactoring project was a comprehensive enterprise initiative to modernize and optimize the accounting data processing system in response to middle office reporting system upgrades. This major effort involved refactoring 15+ ETL packages, implementing new business rules, and significantly improving processing performance. The project required coordination with overseas development resources and took over a year to complete, resulting in a more scalable and maintainable system.

Key Achievements

• Refactored all accounting data ETL to conform with middle office report changes
• Coordinated development with overseas resource for global team collaboration
• Improved processing time from 4:00AM-5:30AM to midnight-1:30AM (2.5 hours earlier completion)
• Enhanced SLA compliance with much more buffer time for issue resolution
• Completed comprehensive documentation including run documents for all jobs
• Integrated with existing error-reporting framework and monitoring system
• Refactored 15+ ETL packages to follow consistent patterns and standards
• Implemented new business rules for calculation processes and data loading
• Created scalable framework for easy addition of future ETL jobs
• Delivered major enterprise initiative completed over one year

Technical Architecture

Core Components

1. ETL Processing Pipeline

   • Overnight ETL runs loading accounting, risk, and index data
   • SFTP file processing and data staging
   • Complex business rules application for daily and monthly holdings
   • Automated data transformation and loading processes

2. Business Rules Engine

   • Modified stored procedures for new calculation processes
   • Complex business logic for data processing and validation
   • Automated rule application and data transformation
   • Flexible configuration for different data types and requirements

3. Data Staging & Processing

   • SFTP file reception and staging processes
   • Data validation and quality assurance
   • Complex data transformation and business rule application
   • Automated data loading and scheduling

4. Monitoring & Documentation

   • Comprehensive system documentation and run documents
   • Error-reporting framework integration
   • Monitoring system integration for proactive issue detection
   • Performance tracking and optimization

Business Impact

• Performance Improvement: 2.5 hours earlier completion (4:00AM-5:30AM to midnight-1:30AM)
• SLA Compliance: Enhanced reliability with significant buffer time for issue resolution
• Operational Efficiency: Streamlined ETL processes with consistent patterns
• Scalability: Framework designed for easy addition of future ETL jobs
• Maintainability: Improved system supportability and documentation
• Global Collaboration: Successful coordination with overseas development resources

Implementation Results

Before Refactoring

• ETL process running 4:00AM-5:30AM with tight SLA constraints
• Limited buffer time for issue resolution and troubleshooting
• Inconsistent ETL patterns across 15+ packages
• Limited documentation and monitoring capabilities
• Manual processes for error handling and issue resolution

After Refactoring

• ETL process running midnight-1:30AM with significant buffer time
• Enhanced SLA compliance with room for issue resolution
• Consistent ETL patterns across all packages
• Comprehensive documentation and monitoring capabilities
• Automated error handling and proactive issue detection

Technology Stack

• ETL: SSIS packages for data processing and transformation
• SQL Server: Database platform and stored procedure development
• SFTP: File transfer and data staging processes
• Business Rules: Complex calculation and data processing logic
• Documentation: Comprehensive system and run documentation

Key Features

ETL Processing

• Overnight ETL runs for accounting, risk, and index data
• SFTP file processing and automated data staging
• Complex business rules application for data transformation
• Automated scheduling and data loading processes

Business Rules Engine

• Modified stored procedures for new calculation processes
• Complex business logic for data processing and validation
• Flexible configuration for different data types and requirements
• Automated rule application and data transformation

System Integration

• Error-reporting framework integration for proactive monitoring
• Monitoring system integration for performance tracking
• Comprehensive documentation including run documents
• Scalable framework for future ETL job additions

Data Processing

• Daily and monthly holdings creation and processing
• Data validation and quality assurance processes
• Complex data transformation and business rule application
• Automated data loading and scheduling

Future Enhancements

• Cloud-based ETL migration for improved scalability and performance
• Real-time data processing capabilities for faster data availability
• Advanced monitoring and alerting for proactive issue detection
• Machine learning integration for predictive data quality analysis
• API integration for modern data exchange and processing