As a Data Engineering Consultant, Madison Scott supports clients in building and evolving data platforms that enable reliable, data‑driven decision‑making. In her role, she works closely with cross‑functional teams to develop and maintain data pipelines, improve data quality and accessibility and support analytics and reporting use cases. Her work focuses on engineering scalable, maintainable data solutions. Previously, Madison contributed to enterprise data initiatives including the design and implementation of Lakehouse architecture and a machine learning proof of concept for a nuclear energy client. Through this work, she developed a strong foundation in modern data engineering practices, cloud‑based platforms and collaborative delivery, as well as a passion for continuous learning and helping organizations unlock value from their data.