The core data ingestion module has been rewritten to replace synchronous file reads and database writes with asynchronous coroutines using asyncio. This change eliminates thread pool overhead for I/O-bound operations, improving throughput under high concurrency. The `process_batch` function now awaits `aiofiles.open` and `asyncpg.execute`, with error handling updated to propagate exceptions through the event loop.
Refactor the core data processing module to use asyncio for concurrent task execution, replacing the previous synchronous loop. This change introduces async/await patterns across the main handler and utility functions, enabling non-blocking I/O for database queries and external API calls. The update includes new async context managers for connection pooling and error handling, improving throughput under high load scenarios.
