Chinonso Mogo
Data Engineer @Veerum
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WORK HISTORY
Data Engineer @Veerum
Calgary, AB, CA
Architected a distributed spatial data processing platform to replace proprietary FME workflows, enabling scalable processing of petabyte-scale industrial point cloud and panorama datasets.• Designed containerized transformation services using PDAL, PotreeConverter, Python, and FastAPI, exposing spatial processing capabilities through APIs for integration with existing systems.• Implemented a metadata-driven pipeline execution framework, enabling flexible orchestration of spatial data transformation workflows without hard-coded processing logic.• Built scalable compute pipelines capable of parallelizing compute-intensive 3D spatial transformations, significantly improving processing throughput for large point cloud datasets by 60%.• Reduced reliance on proprietary geospatial processing tools by introducing an open-source spatial data processing stack, improving operational flexibility and reducing infrastructure cost by more than 50%.
EDUCATION
College of the North Atlantic
Diploma, Software Development
Udacity
Nanodegree, Data Engineering
Federal University of Technology Owerri Nigeria
Bachelor's Degree, Environmental Technology
Cornell University
Certificate , Business Analytics
Memorial University, Newfoundland and Labrador
Master's degree, Environmental Systems Engineering and Management
SKILLS
ABOUT CHINONSO MOGO
An experienced software developer specializing in designing and building robust data products across various industries, with a strong focus on aligning data products and strategies with overarching business objectives.
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