Compliance & Data Pipeline

We partnered with a U.S.-based renewable energy company to improve their Apprenticeship Program. We developed tools to track work hours, ensure fair compensation, and meet complex compliance requirements. The solution improved data management, streamlined operations, and supported better decision-making across the organization.

Client Overview

U.S. Based Renewable Energy Company

A U.S.-based renewable energy company specializing in the maintenance, re-powering, and operation of wind farms. The client aimed to improve the overall experience for apprentices and stakeholders by developing a suite of applications and algorithms to monitor and execute processes, visualize data, and streamline operations related to work hour classification and compliance.

The Challenge

Tackling Wage Fairness and Complex Compliance

The client faced multiple challenges in tracking and managing apprenticeship hours while ensuring fair compensation. The main objectives included:

Additionally, the project required a serverless architecture to minimize costs and a no-code/low-code solution to avoid expensive frontend development.

Our Strategy

Agile Delivery for Evolving Program Needs

Since the client had evolving requirements and limited business rule definitions, our team followed an iterative approach, continuously refining the solution. A key challenge was adapting to scope changes, limited feedback, and the client’s lack of prior technical knowledge.

How we did it:

Team Alignment and Planning:
Established regular check-ins and meetings to ensure alignment with priorities. Maintained clear communication channels for efficient collaboration.
Data Model Development:
Designed a flexible data model to accommodate future modifications and additional entities. Utilized DBT Cloud to transform raw data into a structured model.
Data Pipeline Implementation:
Leveraged Azure Data Factory to orchestrate data movement and processing. Created a pipeline to transfer data into a PostgreSQL database, execute DBT transformations, and trigger Python scripts hosted on Azure.

Benefits

Clearer Data, Better Decisions, Bigger Scope

Impact

Key Learnings

Through this project, we successfully delivered a scalable, cost-effective solution that not only met the client’s needs but also paved the way for broader digital transformation within their organization.