Richard Teumo Magoua

• Collected, clarified, and validated data & reporting requirements with business stakeholders. • Design and maintain ETL/ELT pipeline with Azure data factory • Designed modern, scalable semantic models using Microsoft Fabric environment • Developed interactive dashboards and self-service reports using Power BI • Standardized reporting formats and implemented automation aligned with governance rules. • Identified and resolved data quality issues; contributed to data governance initiatives. • Analyzed trends, detected recurring issues, and recommended improvement actions. • Documented BI processes and guided users in adopting BI and governance best practices. • Supported modernization initiatives by optimizing legacy BI processes and enabling more flexible data consumption.

• Led the identification, mapping, and integration of new and legacy data sources into modernized pipelines. • Designed, developed, and optimized ETL/ELT data pipelines using Microsoft Fabric ADF SSIS, and SAP DS improving data processing efficiency. • Lead end to end BI or Power BI projects • Automated and maintained large-scale data workflows, ensuring high availability and reliability across cloud and on-premise environments. • Built and maintained semantic models using Microsoft Fabric, SSAS, SAP IDT, ensuring alignment with architectural standards and scalability. • Managed Fabric infrastructure: job scheduling, monitoring, storage, backups, and inter-system integrations. • Delivered enterprise BI reporting through Power BI, QlikSense, and SAP BO, including dashboard redevelopment and KPI alignment. • Ensured strict data governance by managing data access rights, validating data quality, and maintaining technical documentation. • Collaborated with cross-functional teams to align on data requirements, reporting needs, and architectural decisions.

• Design and implement scalable data architecture to enable efficient extraction, transformation, and loading (ETL) from diverse data sources. • Identify, integrate, and model relevant data sources in response to business requirements. • Monitor, develop, or modify ETL workflows to meet new needs using SAP Data Services and SSIS. • Create and maintain semantic models using SSAS, SAP UDT, and IDT, ensuring they align with business needs and remain scalable for future development. • Optimize data processing performance to ensure speed, scalability, and efficient resource utilization. • Ensure data quality and consistency. • Address data quality issues by deploying appropriate strategies and solutions. • Create interactive dashboards and data visualizations using SAP BO, Qlik Sense, and Power BI. • Write technical documentation to ensure the sustainability and maintainability of deployed solutions.

• Produce and manage detailed reports ensuring data accuracy and timely distribution. • Communicate reporting needs, clarify requests, and validate results with stakeholders. • Standardize reports and oversee automation processes in line with company standards. • Identify and resolve data inconsistencies, optimizing data quality and integrity. • Developed interactive dashboards and visualizations using Power BI, QlikSense, and SAP BusinessObjects to enable data-driven insights and decision- making. • Analyze trends, detect recurring issues, and propose process improvements. • Develop complex calculations and simulation models for in-depth data analysis. • Prioritize internal reporting needs and oversee functional validation (UAT) of reports. • Provide support in creating user guides and educating stakeholders on governance rules. • Designed, documented, tested, and deployed end-to-end ETL workflows using

• Worked closely with various teams to understand business processes and translate business needs into data solutions. • Ensured analysis, consolidation, and reliability of data from SAP FICO, SD, and MM, applying necessary filters for extraction. • Produced reports and dashboards using Power BI and SAP BO to monitor performance. • Identified data gaps and inconsistencies and proposed corrective actions. • Conducted functional testing (UAT) and validated SAP enhancements related to financial processes.