paired time series correlation

I'm looking for a python expert who can run docker compose v 2.5 or greater on their computer.

we need to find high correlations between two 4-6 month time sereies samples aggregated from all stocks in time in the s&p 500

I represent a data science company and can provide you a few contracts.

please select a time here https://calendly.com/superiordatascience/meeting-with-jobin

please have these answers during interview
1. are you quick with docker-compose and docker?
2. are you quick with python libraries such as pandas
3. do you python asynchronous or multiprocessing to speed up a thorough ranking analysis
4. what type of table do you need to find an aggregate correlation coefficient sum for a time in s&p so that we find the highest correlation between today and another bear market
5. learn this first https://www.youtube.com/watch?v=XVV6IVPUlKU