Convert `BuiltInWindowFunction::Ntile` to a user defined window function

[jcsherin]

Is your feature request related to a problem or challenge?

Part of #8709

There is now no difference between "built in" / "prepackaged" scalar and aggregate functions in DataFusion, however there are still some "built in" window functions -- see the current source for BuiltInWindowFunction for the up to date list of what remains

The problem with having two different kinds of window functions is

1. There are some features that may not be available to User Defined Window Functions that rely on built in
2. Users can not easily choose which window functions to include or override the behavior if they need something different

Describe the solution you'd like

I would like to remove the "built in" version of this function and convert it to a user defined function

Describe alternatives you've considered

At a high level the process is:

1. Add a new WindowUDFImpl in the functions-window crate
2. Port the code from the relevant existing implementation of the the built in functions in datafusion/physical-expr/src/window
3. Remove the BuiltInWindowFunction variant and then get everything to compile (the compiler will show you where the existing implementations are)

Additional context

Here are some good examples:

• Port of RowNumber in Convert built-in row_number to user-defined window function #12030

[jcsherin]

This is a good first issue.

[hailelagi]

take

[jonathanc-n]

@hailelagi Are you working on this? I can take it up if not

[hailelagi]

@jonathanc-n please feel free to work on this in parallel, if you can/want to complete it urgently that works just as well. see also: https://datafusion.apache.org/contributor-guide/index.html#open-contribution-and-assigning-tickets

If someone is already working on an issue that you want or need but hasn’t been able to finish it yet, you should feel free to work on it as well.

With that said there a few other built-ins in need of conversion to a udf without an issue i believe? but could be wrong cc: @jcsherin