ODO cannot access S3 with S3ResponseError: 403 Forbidden

I am using odo library to transfer a **pandas dataframe** to S3. However I am getting following error :
```
import pandas as pd
df = pd.DataFrame([[1, 2], [3, 4], [5, 6], [7, 8]], columns=["A", "B"])
odo(df,'s3://path_to_s3_folder')
S3ResponseError: S3ResponseError: 403 Forbidden

AccessDeniedAnonymous access is forbidden for this operationF5958774D56AD29EzOH8JOxpSgB5Scgc/YrtHO1+e9lXoKAF89IhRSeAiSoGHAJxyjXKBVFIYETeO4gSLZOUgXmwKLM=
```

Now I have the AWS credentials setup correctly as I can see in my `~/.aws/credentials` file
```
cat credentials
[default]
aws_access_key_id = XXXXX
aws_secret_access_key = XXXXXXXXXX
```
The aws cli works correctly for me and I can run `aws ls` and `cp` commands correctly (I guess this means I do have the required permissions).
```
aws s3 ls s3://path_to_s3
```
Also `boto3` is able to access s3 resources and does not give an error.
```
import boto3
s3 = boto3.resource('s3')
for bucket in s3.buckets.all():
print(bucket.name)
```

What would be possible wrong/missing in the configuration ?

Reproduce the failure with the shown pandas dataframe and odo(df, 's3://...') call, then compare it with the working aws CLI and boto3 checks. Inspect odo's S3 integration and credential-loading entry points to find where the request becomes anonymous. Done means the same dataframe transfer succeeds using the configured credentials.

Written by the indexing model from the issue text.