Async Python Performance Optimization

Budget: $30 - $250

I have a Python-based data scraper that is currently running too slow and crashing due to high memory usage when processing large datasets. It’s built with Selenium/Requests but isn't scalable. Requirements: -Refactor sync loops to Asyncio/Aiohttp. -Optimize memory footprint for 5,000+ records. -Implement a robust error-handling and retry mechanism. Need an expert who can handle high-performance Python code. No beginners please.