Simon Ndunda is a Principal Data Engineer and Cloud Architect with 11 years of experience building scalable real-time and batch data platforms across Google Cloud, Azure and AWS. He designs end-to-end pipelines and warehouses—leveraging Dataflow, BigQuery, Cloud Run, Airflow, Synapse and Spark—to turn high-volume IoT, application and analytics data into reliable, production-ready assets. Comfortable coding in Python, Node.js and SQL, he has led migrations from legacy ETL systems to modern orchestrated architectures and enabled data teams with self-service tools and automation. Based in Lisbon, he combines consultancy breadth with hands-on execution at enterprises like IQVIA, DefinedCrowd and M-KOPA, and has repeatedly modernized data stacks to improve observability and throughput. Notably, his background spans both product-focused platform work and field deployments processing millions of IoT events, giving him a pragmatic edge when designing resilient data systems.
11 years of coding experience
10 years of employment as a software developer
Master’s Degree Information Technology Management, Master’s Degree Information Technology Management at University of Nairobi
Contributions:2 PRs, 1 push, 2 branches in 7 months
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