Paula Harder developed comprehensive documentation for the ecmwf/anemoi-datasets repository, focusing on data frequency manipulation workflows. She detailed how to interpolate datasets to higher temporal frequencies and sample down to lower frequencies, providing clear YAML configuration examples to guide users. Using her data engineering and documentation skills, Paula updated repository guidance to streamline developer onboarding and reduce integration time for frequency-alignment tasks. Her work, implemented in Python and YAML, addressed a key usability challenge by clarifying complex data transformation processes. The depth of her contribution lies in making advanced data engineering workflows more accessible and maintainable for both users and developers.