Project Overview

ICF's In-House Reporting Solution empowers organizations to deliver energy efficiency rebates in real-time, enhancing operational efficiency and customer satisfaction. Working with an existing system and extending it to integrate with PowerBI, our goal was to streamline the process of editing and creating reports needed to generate rebate checks from the federal government.

This comprehensive solution transformed manual reporting processes into an automated, scalable system capable of handling high-volume data processing while maintaining accuracy and compliance with federal requirements.

In our .NET-based project, I used Visual Studio to manage and update SQL integration logic embedded within C# service classes and data access layers. We maintained our codebase in GitHub, so all changes were made via standard Git workflows—pulling down the latest changes through pull requests, reviewing diffs, and committing structured updates.

There was no GUI or ORM tool like EF Core abstracting the SQL—everything was written as raw SQL queries or stored procedure calls, integrated directly into the application code. This was intentional due to the tool’s architecture, which prioritized performance and control over using an abstraction layer.

The architecture was loosely based on a layered structure—separating concerns between controllers, services, and repository classes. SQL logic was centralized in a data access layer (DAL), and changes to business logic often required corresponding updates to these SQL definitions.

Since the application didn’t use migrations or schema tooling, updating the SQL required full understanding of the schema, query optimizations, and how C# components consumed that data. In many cases, these SQL updates were critical to improving runtime efficiency and aligning business requirements with backend performance.

1000+ Reports Edited and Created
85% Report Generation Time Reduction
24/7 Automated Monitoring

Business Challenge

ICF faced significant challenges in managing energy efficiency rebate reporting that threatened operational efficiency and customer satisfaction:

Solution Architecture

Contributed to a comprehensive .NET-based framework that revolutionized automated report management for energy efficiency rebate processing:

Automated Report Generation

Implemented a robust automation framework that generates, edits, and validates reports in real-time, significantly reducing manual effort and eliminating human errors in rebate calculations and federal compliance reporting.

PowerBI Integration

Developed seamless integration with PowerBI, enabling dynamic data visualization, real-time dashboard updates, and comprehensive analytics for stakeholders to track rebate program performance and federal funding utilization.

Scalable Architecture

Designed a modular, scalable architecture that supports high volumes of rebate data processing and reporting, ensuring consistent performance and reliability as program participation grows and federal requirements evolve.

Business Impact & Results

The implementation delivered transformative results across the energy efficiency rebate program:

Technical Implementation Highlights

Key technical achievements that enabled enterprise-scale success in energy efficiency rebate management:

Technical Notes

Implementation Considerations: This automation framework integrates with existing ICF systems while extending capabilities to PowerBI for enhanced reporting and analytics. The solution includes comprehensive logging, automated validation, and email alerting for critical process milestones. Data security and federal compliance requirements are built into every component of the system architecture.

Scalability Features: The system architecture supports horizontal scaling to accommodate growing rebate program volumes and additional federal energy efficiency initiatives. Integration points enable seamless connectivity with financial systems, customer relationship management platforms, and federal reporting databases, ensuring long-term sustainability and adaptability.