Productionize the P.O.C. done in T322534.

Implement a NotebookOperator that runs Jupyter notebooks in Airflow using Skein and Papermill.
It should accept as parameters:

• The path to the notebook file itself in HDFS (this can be treated as an Airflow artifact)
• The path to a packaged conda environment in HDFS (.tar.gz file - also can be treated as an Airflow artifact)
• Any parameters passed directly to the notebook via Papermill, these should be dynamic (you might want to pass i.e. {{ execution_date.year }} )