Next-Generation Analytics and Enterprise BI Support: Power BI & Fabric Implementation

Operating at Microsoft's global enterprise scale means managing datasets that aggregate hundreds of millions of transaction records daily. With hundreds of internal stakeholders requesting ad-hoc data extractions and custom views, the core reporting pipelines faced performance degradation. Issues like refresh failures on complicated on-premises gateways, memory errors, and query latency on tabular datasets threatened daily operational visibility. Microsoft required continuous, high-level technical oversight to scale, secure, and modernize their massive reporting layers.

As a Senior L2 Developer, I spearheaded performance diagnostics and support. I rebuilt relationship structures, streamlined hierarchies to decrease memory card sizes, and utilized VertiPaq optimization to accelerate cache hits. We introduced custom Composite Models, using Aggregation Tables to process high-level metrics rapidly while pushing raw granular queries down to relational warehouses. In addition, I designed and connected customized Microsoft Copilot Studio interfaces directly into live semantic models, allowing business leaders to query metrics like 'MTD revenue variations' inside automated chat interfaces, deflecting recurring ad-hoc tasks.