Chiogor Ikeomumu

Led the design and implementation of scalable data platforms and enterprise data pipelines to support regulatory and quality assurance functions. Architected data ingestion, transformation, and delivery for BI and analytics, unifying data sources across Dynamics 365, Dataverse, SharePoint, and external systems via API connectivity into Azure Synapse and Microsoft Fabric. Implemented AI-powered workflow automation for regulatory triage, summarisation of concerns, automated data validation checks, and accelerated review cycles. Built an AI-driven reporting agent that analyzes key metrics from internal data sources, generates a daily performance summary, and emails findings to the regulatory team. Optimised Spark workloads for large-scale structured and semi-structured data (CSV, TXT, JSON) to deliver high-performance analytics and reporting.

Delivered governance-aligned data analytics and BI solutions to regulatory reporting teams. Designed and implemented ETL/ELT pipelines and data models to support performance monitoring and compliance reporting. Created dashboards and automated reports to provide executives with timely insights into regulatory KPIs, improving data quality and decision-making. Collaborated with governance teams to maintain data integrity and data quality frameworks across analytical outputs.

Supported commercial operations and sales analytics across EMEA. Built data-driven dashboards and automated reporting processes to monitor sales performance, pipeline, and revenue metrics. Implemented data integration and automation to streamline order processing and customer insights.