ETL Pipeline Example: Load

Writing the load function in helper.py

Now that we have a clean and transformed CSV file, we can focus on the load stage of the ETL pipeline. As usual, we’ll write a function called load in the helper.py file. Later, we’ll use that function as a part of the DAG.

The load function creates a new dataframe using the clean data and inserts it into the fact table in the data warehouse using a for loop.