statistics: mediation model with repeatedly measured treatments

I am looking for a freelancer to help me with a mediation model project. The purpose of this project is to identify the causal mechanisms at play, and I will provide the dataset needed. I prefer for the freelancer to use SAS as the statistical software for the mediation model. The expected outcome is a comprehensive mediation model that explains the relationship between different variables, tests the effectiveness of a specific treatment, and ultimately reveals the underlying causal mechanisms. To complete this project, the freelancer must be experienced in mediation models and proficient in using the SAS statistical software.

I need to run/analyze a mediation model with three treatments repeatedly measured at four different time points.

The IV and DV are latent variables-so each contains four scale items.

I also have a few control variables.

So, for example:

I have an IV (5 items) and DV (4 items).

I repeatedly measured both IV and DV under three different treatments or conditions four different times.

So, it would look like this:

IVCondition1/DVCondition1 time0, IVCondition1/Condition1 time1, IVCondition1/DVCondition1 time2, IVCondition1/DVCondition1 time3

IVCondition2/DVCondition2 time0, IVCondition2/Condition2 time1, IVCondition2/DVCondition2 time2, IVCondition2/DVCondition2 time3

IVCondition1/DVCondition3 time0, IVCondition1/Condition3 time1, IVCondition1/DVCondition3 time2, IVCondition3/DVCondition3 time3

I also have control variables which I measure once.