Python Memory & Concurrency Optimization

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

Project ID: 40348443