High-Performance Bulk Account Verifier & Classifier (bulks Records)

I need a robust, high-performance automation tool to verify and categorize approximately 300,000 user accounts from two databases. The tool will check login validity on a specific portal and classify accounts by type.

Key Technical Challenges:
Large Scale Processing: The tool must handle 300,000+ entries efficiently. I need a developer who understands multi-threading and asynchronous processing to ensure the task doesn't take weeks.

Smart De-duplication: There are many duplicates across the databases. The tool must include a pre-processing step to clean and de-duplicate the list before starting the verification process to save time and resources.

Account Classification: For every successful login, the tool must scrape the account dashboard to identify if it is a Corporate (Enterprise) or Individual account.

Requirements:
Efficiency & Speed: Use of Python (Asyncio/Aiohttp), Node.js, or Go is preferred for high-concurrency.

Proxy Support: Since we are checking 300k accounts, the tool must support HTTP/SOCKS5 proxies (with rotation) to avoid IP bans.

Database Management: Ability to handle large SQL/NoSQL exports and merge results without data loss.

Error Handling: Robust "retry" logic for timed-out connections or portal glitches.

Deliverables:
A high-speed verification engine.

A clean, de-duplicated final database/report with Status (Live/Dead) and Type (Corporate/Individual).

Source code with instructions on how to manage proxy integration.