This example demonstrates how to load multiple JSON files from an Amazon S3 bucket directly into a single Pandas DataFrame using the AWS SDK for Pandas (awswrangler). It shows a concise workflow where a prefix path—structured as `s3://<bucket>/yyyy/mm/dd/`—targets all daily files at once, bypassing the need for manual iteration. The code calls `wr.s3.read_json()` with `lines=True` to parse newline-delimited JSON records from every file under that prefix, then applies `reset_index(drop=True)` to produce a clean, sequentially indexed DataFrame. The snippet highlights awswrangler’s ability to abstract S3 file discovery and batch reads into one efficient operation.