Add multithreaded S3 object mover script

[JordanLaserGit]

This script moves objects between S3 prefixes with multithreading and pattern filtering.

WIP. add example in docs.

Additions

Removals

Changes

Testing

Screenshots

Notes

Todos

Checklist

• PR has an informative and human-readable title
• Changes are limited to a single goal (no scope creep)
• Code can be automatically merged (no conflicts)
• Code follows project standards (link if applicable)
• Passes all existing automated tests
• Any change in functionality is tested
• New functions are documented (with a description, list of inputs, and expected output)
• Placeholder code is flagged / future todos are captured in comments
• Visually tested in supported browsers and devices (see checklist below 👇)
• Project documentation has been updated (including the "Unreleased" section of the CHANGELOG)
• Reviewers requested with the Reviewers tool ➡️

Testing checklist

Target Environment support

• Windows
• Linux
• Browser

Accessibility

• Keyboard friendly
• Screen reader friendly

Other

• Is useable without CSS
• Is useable without JS
• Flexible from small to large screens
• No linting errors or warnings
• JavaScript tests are passing

[JoshCu]

I don't know how much of a difference this makes here because you've got external multi threading but boto3 has a few options that make it a bit quicker like https://github.com/CIROH-UA/NGIAB_data_preprocess/blob/main/modules%2Fdata_sources%2Fsource_validation.py#L102 https://github.com/CIROH-UA/NGIAB_data_preprocess/blob/main/modules%2Fdata_sources%2Fsource_validation.py#L66

There's another one called something like max_queue that I've got set to 10,000 in my .aws/config which makes aws s3 sync run a lot smoother but I've not tried it in python.