Yeah this code won’t be very nice to unit test. You should simply create a function instead of using lambda in this case so you can test your code

Typical approach to create the layer would be as follows: mkdir myproject cd myproject virtualenv v-env source ./v-env/bin/activate pip install pandas deactivate #Now creating layer #Make sure directory name is python nothing else mkdir python cd python #Just check the list-packages or site-packages path one directory above and update accordingly on next command cp -r ../v-env/lib64/python3.10/dist-packages/* . cd .. zip -r pandas_layer.zip python #Create layer through CLI or Console #Keep compatible run time from python 3.7 to 3.10 and lambda run time as python 3.10 There are few pointers which may help you in this case: First: If you are using mac for creating pandas package, try ubuntu or linux(most of times this helps) Second: Try deploying the function and package in python3.10 at local and then upload it in AWS Third: if you are familiar with CI/CD, best to deploy with codepipeline where AWS would create docker environment and install pandas library along with it's dependency(pytz, numpy, tzdata) through requirements.txt where you would specify pandas==1.2.3(example) Lastly(best if not using CI/CD): Follow this post step by step https://repost.aws/knowledge-center/lambda-python-function-layer and deploy the lambda function separately without pandas package zipped with it and update the layer for this lambda, which would be created following above post.