Summary
Nabil Seid is a data engineer with eight years of experience building scalable, cost-efficient data platforms and analytics pipelines for ad tech. He has designed and operated terabyte-scale BigQuery/DBT pipelines and an AWS lakehouse handling 10+ GB/day and 15 TB historical datasets, with a focus on real-time streaming, observability, and cost reduction. At Ozone he architected anomaly detection, cost-estimation, and documentation practices that increased model auditability; at Adludio he delivered client-facing KPI products, core Python tooling, and a real-time monitoring system that improved operational reliability. Comfortable across backend services, ETL, and product-facing dashboards, he combines hands-on engineering with pragmatic automation to maximize impact. Based in Addis Ababa, he’s an open-source-minded engineer who enjoys turning complex bidding and campaign flows into auditable, repeatable data products.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE Software Engineering, Bachelor of Engineering - BE Software Engineering at Addis Ababa University
Data Science, Data Science at 10 Academy