You need to explain a complex data model used to forecast operational volume. A strong answer should cover the model grain, source systems, historical features, how changing business definitions were handled, and how the pipeline kept the forecast tables accurate enough for planning decisions.
Data model design for forecastingETL structure from raw to curated layersBatch feature generation for time-series inputsData quality controls and reconciliationOperational usability of forecast outputs