Timothy Itodo is a Cloud Data Engineer at Google with seven years of experience building backend and big data solutions, blending a strong academic foundation in mathematics and computer science (3.9 GPA) with practical engineering. He progressed through Google’s residency and technical account roles into a hands-on cloud data engineering position, delivering scalable data platforms and customer-facing solutions. Previously he accelerated data discovery and productivity at Walmart Labs and automated analytics workflows at Goldman Sachs and Acxiom, saving teams significant time through practical tooling. A co-founder of a startup, he brings product-minded engineering and mobile app experience alongside proficiency in Python, C++, SQL, Swift, Alteryx and Tableau. Known for quick comprehension of legacy systems and low-friction code changes, he focuses on backend, IoT and cloud-native data pipelines. Based in Austin, he combines academic rigor with startup grit and a track record of translating data complexity into usable outcomes.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Mathematics and Computer Science, 3.9 GPA, Bachelor of Science - BS, Mathematics and Computer Science, 3.9 GPA at Philander Smith College
Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks
Contributions:26 pushes, 1 branch in 8 months
data-cloudgcpsolvinggoogle-cloud-platformbigquery
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