Extends Pandera validator to handle more DF types

[skrawcz]

We were assuming only pandas annotated functions. This changes that and ensure that functions annotated with a dask datatype will work.

Note, added pyspark without adding a test.

Changes

• pandera validator

How I tested this

• locally via unit tests

Notes

• this uses the registered dataframe and column types from registry filtering on an explicit list that pandera supports.

Checklist

• PR has an informative and human-readable title (this will be pulled into the release notes)
• Changes are limited to a single goal (no scope creep)
• Code passed the pre-commit check & code is left cleaner/nicer than when first encountered.
• 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
• Project documentation has been updated if adding/changing functionality.

[sweep-ai]

Apply Sweep Rules to your PR?

• Apply: All new business logic should have corresponding unit tests.
• Apply: Refactor large functions to be more modular.
• Apply: Add docstrings to all functions and file headers.

[elijahbenizzy]

LGTM