Summary
Prashanna Rai is an Azure Data Engineer with nine years of hands-on experience who transitioned from full‑stack development to designing scalable cloud data solutions. He combines a strong foundation in end‑to‑end application design, front-end Angular and Java back-end work, and test automation with practical expertise in Azure Data Factory, Synapse Analytics, and Databricks. His background includes automation and DevOps practices—Jenkins, Docker, Ansible—and a research thesis on cloud‑native authorization using OPA and Wasm that highlights his focus on performance-sensitive, secure systems. Having built production UI automation used for daily sanity checks and delivered integrations in post‑trade financial systems, he excels at bridging application and data engineering teams to ensure reliable delivery. Based in Sundsvall, Sweden, he also brings teaching and mentorship experience from Uppsala University, reflecting an appetite for knowledge sharing. Colleagues describe him as technically curious and humble—seeking to learn from specialists while contributing practical, production-ready solutions.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Programs in Computer Engineering Computer Engineering, Bachelor’s Degree Programs in Computer Engineering Computer Engineering at Kathmandu Engineering College
Master Programme in Computer Science - Computer Science Computer Science, Master Programme in Computer Science - Computer Science Computer Science at Uppsala University