During October 2025, Etrotta focused on enhancing data integrity in the pola-rs/polars repository by addressing a critical issue in DataFrame construction from iterable data. They fixed a bug to ensure schema overrides are correctly applied when loading row data, which prevents mis-typed columns in downstream pipelines. Etrotta implemented comprehensive unit tests to verify that column type overrides function as intended, thereby improving test coverage and reliability. Their work relied on Python and DataFrames, with a strong emphasis on testing practices. This contribution deepened the robustness of schema handling in Polars, supporting more reliable data workflows for end users.