If your team spends 5+ hours a week pulling the same data, cleaning the same files, and building the same reports — that's not a data problem, it's an automation problem. I'll write Python scripts that do it automatically, on a schedule, with alerts when it's done.
pandas, openpyxl, requests, BeautifulSoup, smtplib, schedule, SQLAlchemy.
REST APIs, JSON/XML parsing, OAuth authentication, pagination handling.
Output to PostgreSQL, MySQL, Excel, CSV, Google Sheets, or direct email.
cron (Linux/Mac), Windows Task Scheduler, AWS Lambda, or GitHub Actions.
Operations team at a logistics company spent 3 hours every Monday manually downloading data from 4 different sources, cleaning it in Excel, and emailing a summary report to 12 managers.
Solution I built: Python script that runs automatically every Monday at 7 AM, pulls data from all 4 APIs, cleans and merges it, generates a formatted Excel report, and emails it to all 12 managers — before anyone gets to the office.
Result: 3 hours/week saved. Zero manual work. Zero missed reports.
Scheduled scripts with alerts — delivered in 1–3 weeks. Code is fully yours.
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