Summary
Ramez Sweiss is a Big Data and analytics engineer with nine years’ experience building and supporting data-driven products across fintech, telecom, banking, and cloud platforms. Currently a Support Escalation Engineer for Big Data Analytics at Microsoft and concurrently serving as CTO of a gaming startup, he blends deep operational troubleshooting of Apache Spark/Databricks ecosystems with product and engineering leadership. His background spans production ML and computer vision for finance, customer and network analytics for telecom, and API-first digital banking—often delivering models and pipelines directly to senior stakeholders. Trained with an MSc in Data Science and Computational Intelligence, he brings a practical mix of research-minded modeling and hands-on cloud engineering, and is comfortable moving between incident response, architecture, and roadmap decisions. A detail that sets him apart: he pairs escalation-level diagnostics at a hyperscaler with startup CTO responsibilities, giving him a rare perspective on both reliability at scale and rapid product iteration.
10 years of coding experience
1 year of employment as a software developer
Master of Science (MSc) Data Science and Computational Intelligence, Master of Science (MSc) Data Science and Computational Intelligence at Coventry University
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Lebanese American University
Arabic, English, French