How to work with two dataset for regression model

How can I implement or create a NN model with two tabulated datasets
Dataset A - shape [11000,68] - Details of Large organisations [target - score]
Dataset B - shape [6200, 24] - Details of small scale companies [target - score]

The two datasets have only few similar features like size ,no of employees, etc . I am trying something like transfer learning. Train on larger companies and predict a score on small companies.

My test data might have any features from 92 (68 + 24) trained features, and can also have missing values.

Can someone please suggest me a way to implement this?