Below is how the folder structure of my project looks like: 

resources/
  |- etl_event/
     |- etl_event.job.yml
src/
  |- pipeline/
     |- etl_event/
        |- transformers/
          |- transformer_1.py
  |- utils/
     |- logger.py
databricks.yml

I created a python module, logger.py, that I want to reuse in many transformers, so I put it in utils folder. I want transformer_1.py to import get_logger() function from the module:

# transformer_1.py
from pyspark import pipelines as dp
from utils.logger import get_logger

@dp.table
def load_events():
    logger = get_logger(__name__)
    logger.info('Loading events...')
    ...

After I deploy my project using DAB, running "etl_event" job fails because 'utils' module is not found.

I learned the following from researching the documents:

1.  PYTHONPATH is not set to the root of the bundle.
2. One suggestion is to use `sys.path.append()` before each import. This feels rather a hack that I must remember to manipulate system path before each import.
3. Another suggestion is to build a python wheel file. I'm not sure if that applies to my project because the module(utils/logger.py) is already included in bundle deployed. I should not need to build a separate wheel file.

My question is what is the proper way to configure my project/bundle so that I can have reusable python modules to be used in pipeline transformers?