Dear team, what is the best practice to pass a AWS role in kedro? I need to read/write data in AWS. I'll have access to the role name/arn. I'm thinking that a few options: 1. Assume role in a hook e.g., `after_context_created`/

before_dataset_loaded

/

before_dataset_saved

but not sure if this gets propagated. From here, save the temporary credentials as env variables. 2. Create a custom data set and assume the role there. PS - I'm using

pandas.ParquetDataset

and

partitions.PartitionedDataset

If I’m not mistaken, we don’t have anything specific for that, so we expect users to do it via AWS API and as you mentioned, inject credentials as env variables