I have a Python script that currently processes real estate data and I need it streamlined before pushing the results into Google BigQuery. Here’s what I want done: • Remove any unused functions so the file stays lean. • Optimize the functions we actually use—speed and readability both matter. • Refactor variable and function names to a clear, consistent style. Once the code is tidy, finish by loading the processed data into my existing BigQuery and Github dataset. I’ll provide repository access, sample data, and the target table schema. A quick walkthrough of what you changed plus instructions to rerun the pipeline on my side will wrap things up.