I have a single 490 GB JSON file containing mixed text and numerical fields. I need every record moved into one Excel worksheet, with field names becoming column headers and data types preserved—no summaries, no pivots, just a clean row-by-row transfer. Because the file is so large and my budget is tight, a lightweight, stream-based solution is fine. A Python script using pandas, openpyxl, or another memory-efficient approach, or a Power Query setup that processes the file in chunks, would work as long as the end result is an .xlsx I can open without losing rows. Deliverables • A working script or tool that performs the conversion. • The generated Excel file, or a representative extract if file size prevents full transfer. • A brief read-me covering dependencies, step-by-step usage, expected runtime, and any hardware requirements. Experience handling very large datasets is essential, and the process must avoid data loss or column misalignment.