10+ years of experience architecting scalable data pipelines, optimizing cloud infrastructure and delivering high-availability network solutions with measurable business impact.
Results-driven professional with extensive expertise in both data engineering and network infrastructure. Proven success in architecting scalable data pipelines, optimizing cloud data warehouses, and deploying high-availability network infrastructures that consistently deliver 99.99%+ uptime.
Skilled in leveraging cutting-edge technologies like Python, SQL, Airflow, BigQuery, and AWS/GCP to drive data informed decisions while leading large scale enterprise modernizations that significantly improve performance and reduce costs.
Holds an MSc in Information and Communication Technology (Open University of Nigeria), which grounds me in advanced telecom and ICT concepts, and an MBA in Management (University of Nigeria, Nsukka), which sharpens my ability to lead teams, manage resources, and align technical projects with business objectives
Thrive in environments where technology is central to business growth, whether through network infrastructure leadership, data engineering solutions, or cross-functional team management. Particularly drawn to roles that allow me to combine strategic oversight with technical execution, ensuring both high availability in networks and value creation through data.
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Optimized data infrastructure and implemented machine learning solutions to drive business insights.
Led network transformation and modernization initiatives across 3,000+ sites.
Managed Tier III data center operations and infrastructure strategy.
Designed and deployed a resilient data transmission and telemetry pipeline using C-band/L-band SCPC architecture with 1:1 hot standby redundancy, commissioning 40+ remote nodes on Intelsat 802 to ensure high-availability data flow supporting critical network and analytics systems.
Built telemetry pipelines, real-time monitoring solutions and cloud-based data workflows, with a proven ability to design reliable data systems, improve data quality, and deliver scalable solutions for analytics and operational efficiency.
Re-architected GCP BigQuery data warehouse with improved partitioning and storage lifecycle policies.
Led fiber optics deployment to replace legacy microwave backhaul across 1,000+ sites.
Implemented automated ML deployment pipeline using Python and Airflow for predictive analytics.