Data Cleaning & Automation with Python + SQL

For a logistics company, I built a Python + SQL workflow to automate daily data processing. The project involved extracting shipment data from a SQL database, cleaning it with Python (Pandas), and exporting structured reports into Excel. I also set up automated scripts to refresh the dataset and send reports by email daily. This reduced errors and saved the client several hours of manual work each week.