Python Data Engineer Needed for Sports Performance Analytics (Web Scraping & PostgreSQL)

I am the founder of an elite sports performance and coaching brand. I am looking for a skilled Backend Developer / Data Engineer to build an automated data pipeline and PDF generation engine. ​We are building a tool that scrapes public race results, processes the raw data through our proprietary mathematical logic (calculating percentiles, variance, and specific performance penalties), stores the data in a database, and automatically generates a custom, highly visual PDF report for the athlete. ​Note: You do not need to build a complex front-end web application or mobile app. This is purely a backend data pipeline, database architecture, and automation project. ​Core Technical Scope: ​Mass Web Scraping: Build a Python scraper (using Selenium, Playwright, or similar) to extract tabular race data from a specific sports database. You must have experience bypassing rate limits and using rotating proxy networks (e.g., BrightData, Smartproxy) to safely scrape thousands of rows weekly without getting IP-banned. There is an ongoing requirement to scrape new data on a weekly basis and store in the bespoke database. ​Database Architecture: Set up and structure a cloud PostgreSQL database (e.g., Supabase or AWS RDS) to store the scraped data cleanly so I can run my own SQL queries directly. ​Logic Engine: Translate proprietary mathematical formulas and conditional logic gates into Python to evaluate the athlete's data. ​Automated PDF Generation: Use a data visualization library (matplotlib/seaborn) or an HTML-to-PDF webhook to generate a clean and premium report containing chronological line charts and clustered bar charts based on the athlete's data. ​Integration: Link the backend to a front-end intake form (Typeform) and email delivery system. ​The Ideal Candidate: ​Deep expertise in Python, web scraping, and database management. ​A strong grasp of mathematics and statistics. ​Bonus: A personal interest in sports, fitness, or "Moneyball" style data analytics. If you understand athletic performance data, you will grasp the vision of this project much faster. ​Next Steps & How to Apply: To protect proprietary coaching logic, the full scope and exact mathematical blueprints will be shared during a discovery call. ​If you are interested, please reply with: ​A brief overview of your experience with web scraping (specifically handling anti-bot protections/proxies) and PDF generation. ​The word "COACH" at the top of your proposal so I know you read this entire description. ​From there, we will schedule a brief video call to run through the blueprint document. Once you understand the exact logic flow, you can provide an accurate, fixed-price quote for the build.