Measurement Builder: perform calculations together / closer to each other, on a single DF pass ideally

## Background
Currently, measurements are applied sequentially to a given dataframe. This might be not optimal - besides, this approach doesn't bring any benefit, it only slows things down. A better would be to somehow aggregate the measurements so that they get executed on a single pass through data. This might require implementing slightly different approach to `Measure.scala` using some kind of MeasurementBuilder class.

Except for Measure class, some other things might be changed here, see https://github.com/AbsaOSS/atum-service/pull/79#discussion_r1374159776 for example.