Developed a data center configuration and modeling feature for the electricitymaps-contrib repository, establishing a scalable foundation for future analytics and capacity planning. The work involved designing JSON-based configuration files and implementing Pydantic models to represent data center information, which were then integrated into the main configuration loading pipeline. By aligning with the repository’s existing configuration management patterns, the changes minimized rollout risk and ensured maintainability. The approach emphasized reusable data modeling and robust configuration management using Python, enabling the project to support more complex data center analytics in the future. No major bugs were reported during the development period.