Python ETL & Power BI Dashboard

I have a batch of raw sales records that first need to be cleaned, transformed, and then turned into an interactive Power BI dashboard. The workflow should be fully reproducible in Python, so anyone on my team can rerun the pipeline when fresh data arrives. Here’s what I need from you: • A well-commented Python script or notebook that performs the entire ETL process—data cleaning, normalization, and loading into a model ready for reporting. • A tidy, documented dataset produced by the script. • A Power BI file that visualises key sales metrics (revenue trends, product performance, regional breakdowns, etc.) and updates seamlessly when the dataset is refreshed. • A short read-me that explains how to run the ETL and how the dashboard is structured. I chose “Create visual reports and dashboards” as the main objective, so your strength in Power BI must show. At the same time, solid experience-driven explanations of previous Python ETL work will set your proposal apart—share just enough background to prove you can deliver. Once the final files pass a quick sanity check (scripts run without errors, visuals match the cleaned data, and filters work interactively), the project is complete.