Architected real-time telemetry dashboards using KQL, Azure Data Explorer, and Power BI, improving data latency and enabling high-frequency operational monitoring. Engineered KPI models and semantic layers in Microsoft Fabric to standardize metrics across domains, reducing analytical inconsistencies and strengthening governance. Optimized ingestion and transformation pipelines with Azure Data Factory and Delta Lake, increasing data freshness and reliability for real-time decision workflows.

Designed a cloud-native data platform using Azure Data Lake, Databricks, Delta Lake, and SQL, implementing ingestion, transformation, orchestration, observability, and governance layers that reduced processing time by 85%. Built a high-throughput real-time pipeline with Databricks Structured Streaming and Event Hubs, processing 1.5M+ PIX transactions/day with low latency and high fault tolerance. Implemented DataOps practices with CI/CD, automated testing, and monitoring, increasing platform reliability and reducing operational incidents. Developed automated KYC analytics using PySpark, SQL, and Power BI, reducing manual review time from 45 minutes to 1 minute and improving audit traceability. Integrated financial, compliance, and operational data sources through scalable ingestion frameworks, enhancing lineage, governance, and regulatory reporting.

Mapped operational workflows into structured data models using SQL, Power BI, and BPMN, enabling measurable KPIs and automated compliance monitoring. Implemented governance and audit controls supported by analytics, increasing process compliance from 45% to 95% and reducing operational rework. Developed monitoring dashboards and control frameworks with Power BI and SQL, improving visibility, traceability, and decision-making across business operations.