Update timestamps.pyx
- [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.

Proposing a change to fix this issue: https://github.com/pandas-dev/pandas/issues/60583. My understanding is that the bug is due to the code logic described in timestamps.pyx. 

The first option that I considered was modifying normalize in timestamps.pyx. The second option that I considered was modifying normalize_i8_stamp() in timestamps.pyx, and also updating normalize_i8_stamp() in timestamps.pxd to update the normalize_i8_stamp() declaration to match the new signature.

datetimes.py would not be modified because my understanding is that this overflow issue is not present in datetimes. 

This pull request is stale because it has been open for thirty days with no activity. Please [update](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#updating-your-pull-request) and respond to this comment if you're still interested in working on this. Thanks for the pull request, but it appears to have gone stale. If interested in continuing, please merge in the main branch, address any review comments and/or failing tests, and we can reopen.