The client needed faster, more flexible analytics from their SAP-stored regional data. Running complex queries directly on SAP caused performance issues. We migrated the data to a Delta Lake architecture using Azure tools and Databricks, enabling efficient, scalable analytics. This empowered teams to generate insights and dashboards without training the SAP system, significantly improving performance and decision-making.

• High server load when running complex queries on SAP data.
• Slow performance and delays in generating analytics reports.
• Lack of scalability for advanced analytics and machine learning use cases.
• Limited flexibility in regional data analysis for stakeholders.

• Migrated SAP data to a scalable Delta Lake architecture.
• Used Azure Data Factory, Databricks, and ADLS Gen2 for efficient data ingestion and storage.
• Enabled Data Science team to run predictive and exploratory analytics without SAP dependency.
• Built interactive Power BI dashboards on Delta Lake for real-time insights.
• Implemented ICEDQ for data quality checks and DevOps for streamlined PR creation.