The update_test_lifecycle.py script only parallelizes the requests across tasks for a given batch of tests.

We should be able to parallelize all requests to improve the overall run time.

Additionally we can take advantage of the group_num_days parameters of the Evergreen API to fetch stats results already aggregated for the reliable and unreliable periods.