Uploading files to multiple S3 buckets when local file changes

I wrote a following simple python code that does listen to changes to files in a folder, and uploads them to 3 different S3 buckets and works well. I would like to do uploading to all 3 buckets parallely.

Approx 4 files of 500KB generated/updated every seconds, so 4 files being uploaded to 3 buckets per second.

Two options are ThreadPoolExecutor and asyncio. What is right approach for this and what are other options ?

Please ignore that I am using pyinotify for watching changes and its old lib.

from http import client
import pyinotify
from boto_client import S3Client

class MyEventHandler(pyinotify.ProcessEvent):
    def __init__(self):
        self.s3Client = S3Client()

    def process_IN_CLOSE_WRITE(self, event):
        self.s3Client.upload_file("bucket_1",event.pathname)
        self.s3Client.upload_file("bucket_2",event.pathname)
        self.s3Client.upload_file("bucket_3",event.pathname)

def main():
    wm = pyinotify.WatchManager()
    wm.add_watch('./tmp', pyinotify.IN_MOVED_TO | pyinotify.IN_CLOSE_WRITE, rec=True)
    
    eh = MyEventHandler()

    notifier = pyinotify.Notifier(wm, eh)
    notifier.loop()

if __name__ == '__main__':
    main()

source https://stackoverflow.com/questions/76239512/uploading-files-to-multiple-s3-buckets-when-local-file-changes

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