Synthetic data is a hot topic in the current Data/Ml space, being proposed as an essential feature in any Data Science toolkit. In a very hands-on approach, the objective is to showcase and depict how to generate synthetic data, deal with the challenges of leveraging deep learning networks for the process, and overcome them in a workflow that includes data profiling and the definition of expectations for the data generation.