Business Intelligence & Data Engineering Professional | Power Platform & AI
I am a results-driven Business Intelligence and Power Platform professional with strong expertise in Power BI and Microsoft Fabric administration, Power Platform administration, and enterprise production support. I have extensive experience managing analytics environments, responding to critical production incidents, and ensuring fast, effective incident resolution to maintain system stability and business continuity.
As an administrator, I have established standardized, secure, and optimized tenant environments, implemented data governance, access controls, and best practices, and supported capacity planning, workspace management, deployment pipelines, and performance monitoring across Power BI, Fabric, and the Power Platform.
In addition to administration and support, I have hands-on experience developing Power BI reports and dashboards, building ETL pipelines, creating Power Automate workflows, and delivering AI-powered chatbots and agentic AI solutions within Azure and the Power Platform. I collaborate closely with business and technical teams to deliver reliable, scalable, and data-driven solutions.
I am a strong communicator, thrive in fast-paced production environments, and am committed to continuous growth in data, cloud, and AI technologies.
Bachelor of Science – Haramaya University
University of Washington – Continuing Education Online, Seattle
View CertificateCreated multiple standard and paginated reports for the enterprise, which are company-secured and cannot be publicly shared. Additionally, developed monitoring reports including Power BI Inventory, business-facing reports, catalog reports, log analytics reports, and Power BI usage analytics. Installed and implemented several Microsoft template monitoring reports by cloning from GitHub to enhance governance and analytics capabilities.
Built and maintained ETL pipelines for structured and semi-structured data using Azure data services.
GitHub repository showcasing ETL development, transformations, and data orchestration:
View ETL GitHub RepositoryActively learning and experimenting with AI technologies, including the development of AI-powered chatbots and agentic AI solutions. Exploring integration with enterprise data sources, APIs, and automation workflows to enhance business intelligence and operational efficiency.