feat: implement chunked Parquet uploads to Hugging Face for memory efficiency and improved data handling

feat: enhance upload_dataset_to_hf with retry logic and detailed logging for error handling

feat: enhance run_pipeline to load existing datasets and calculate pending tickers for collection

feat: add checkpoint upload functionality in run_pipeline for intermediate data saving

feat: enhance error handling in run_pipeline with fallback logic for ticker retrieval

chore: update compiled Python bytecode for app module

feat: enhance fetch_ticker_data with fallback period handling and improve last 30 days filtering logic

feat: update fetch_ticker_data to accept period parameter and enhance pipeline with period input

feat: add real-time data update functionality and enhance dataset loading