
Solve complex technical challenges within Power BI and Microsoft Fabric across enterprise-scale environments

Identify and resolve integration challenges across platforms, including Fabric, Azure, Databricks, SAP, and other enterprise source systems.

Support complex multi-market rollout scenarios and global deployments.

Use Microsoft Copilot, GenAI assistants, prompt libraries, code generation frameworks, and automation scripts to accelerate and optimize the development of dashboards and semantic models.

Develop reusable AI-supported assets for DAX generation and optimization, semantic model documentation, test case creation, data quality rule definition, lineage documentation, dashboard design guidance, and migration code transformation.

Define and track measurable improvements in development time, debugging effort, and POC delivery timelines.

Assess new Microsoft roadmap features and evaluate their relevance and applicability for enterprise environments.

Develop rapid prototypes and technical Proofs of Concept to validate emerging Fabric capabilities.

Explore and test advanced Microsoft Fabric capabilities, including Direct Lake, OneLake shortcuts, real-time analytics, Data Activator, Copilot-supported BI development, and AI-driven dashboard automation.

Design and implement enterprise-grade semantic models to support high-scale reporting requirements

Improve dashboard performance, optimize refresh SLAs, and ensure scalable workspace operations

Create reusable technical assets to accelerate CoE delivery, including semantic model templates, deployment pipelines, CI/CD automation scripts, Fabric monitoring dashboards, Power BI governance scripts, performance diagnostic toolkits, AI prompt libraries for BI engineering, and code generation templates.