Refactor DataFrameNormalizer to improve performance

[G-D-Petrov]

Reference Issues/PRs

Fixes #1963

What does this implement or fix?

This fix aims to reduce the number of calls to make_block and thus improve the performance of the post processing steps when there are multiple columns of the same type next to each other.

Note: there is not improvement when the columns are of different types

Any other comments?

Before the fix the code from the repro took:

8050444 function calls (7700439 primitive calls) in 4.323 seconds
ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1    0.002    0.002    2.822    2.822 _store.py:1831(_post_process_dataframe)

After the fix it took:

1679935 function calls (1503062 primitive calls) in 2.043 seconds
ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1    0.005    0.005    0.594    0.594 _store.py:1831(_post_process_dataframe)

Checklist

Checklist for code changes...

• Have you updated the relevant docstrings, documentation and copyright notice?
• Is this contribution tested against all ArcticDB's features?
• Do all exceptions introduced raise appropriate error messages?
• Are API changes highlighted in the PR description?
• Is the PR labelled as enhancement or bug so it appears in autogenerated release notes?