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.