Rajesh Sonnakula

• Develop end-to-end ETL pipelines in Azure Databricks using PySpark, Python, and SQL to integrate logistics data.
• Utilized PySpark for large-scale data processing, transforming, aggregating, and engineering features for analysis,
handling massive datasets efficiently.
• Design interactive Power BI dashboards for Maersks global logistics and supply chain (warehousing, distribution,
ocean/land/air) using advanced DAX, drill-through, bookmarks, tooltips, and KPI cards.
• Own the full BI lifecycle: data modeling, DAX, visual design, deployment, RLS, and scheduled refresh, ensuring
reliable self-service analytics for business users.
• Collaborate with cross-functional stakeholders to define KPIs and enhancements, delivering impactful analytics
solutions that improved decision-making and user adoption.

• Built and maintained 10+ Power BI dashboards for Global Order Management, supporting stakeholders track sales,
inventory, and orders across multiple global instances.
• Used SQL and Power Query for ETL, optimizing data pipelines and advanced DAX measures, reducing manual
preparation and improving efficiency.
• Responsible for enhancing existing Daikin Power BI reports by understanding current solutions, gathering stake
holder requirements, and delivering improved logic, visuals, and performance.