The aim of the project was to implement an efficient environment for analyzing energy consumption data. Within the scope of the project, the architecture of the Data Lake environment and data flows from several source systems were developed. The business goal was to provide efficient forecasting of energy consumption. The technical goal was to optimize the current data transformation and reporting processes