A company collects temperature, humidity, and atmospheric pressure data from cities across multiple continents. Each site generates about 500 GB of data per day and has a high-speed Internet connection. The company wants to aggregate data from all sites as quickly as possible into a single Amazon S3 bucket while minimizing operational complexity. Which solution meets these requirements?

S3 Transfer Acceleration uses Amazon CloudFront's globally distributed edge locations to speed up data transfers to S3, which is ideal for geographically dispersed data sources and high-speed internet connections. Multipart uploads allow large files to be broken into smaller parts and uploaded concurrently, significantly improving upload speed and resilience. This combination directly addresses the need for fast data aggregation from multiple sites into a single S3 bucket with minimal operational complexity. Uploading to regional S3 buckets and then using Cross-Region Replication adds an unnecessary intermediate step and latency, increasing complexity. AWS Snowball Edge is designed for large-scale offline data transfers or edge computing, not for daily 500 GB transfers over high-speed internet. Using EC2 instances and EBS snapshots is overly complex and inefficient for this data transfer scenario, as it introduces multiple layers of storage and compute that are not optimized for direct S3 ingestion.