Which tasks were implemented

• Development, maintenance and continuous optimization of ETL processes to ensure efficient data flows
• Development, maintenance and optimization of the data architecture including definition and management of table structures in the data warehouse (DWH)
• Ensuring high data quality and consistent data management in the backend through regular quality checks and error analysis
• Creating detailed documentation of data flows and data models for transparency and traceability of processes

Which technologies were used

• SQL
• PostgreSQL
• C#
• Apache Superset
• Qlik
• DWH
• Business Intelligence