Meghan focused on data model cleanup for the duneanalytics/spellbook repository, targeting technical debt and improving long-term maintainability. She removed deprecated datasets, such as the labels_hackers_ethereum model, and deleted unused SQL models and their associated YAML schema files, including those for BeraSwap pools and Worldcoin accounts. Using SQL and YAML, Meghan consolidated schema definitions to streamline the codebase, reduce maintenance overhead, and mitigate data drift risks. Her work enhanced data quality and query performance while preparing the repository for smoother future changes. This effort demonstrated depth in code cleanup, data modeling, and database management within a production analytics environment.