Summary
Vandit Gajjar is a senior data engineer with nine years’ experience building cloud-native analytics platforms and delivering clinical and enterprise data solutions across public health and Big Four consultancy environments. Currently at SA Health he architects secure, governed pipelines using Azure (Synapse, Data Factory, Databricks, AI Studio/OpenAI), Snowflake and Power BI Fabric to unify clinical and local health network data for real-time decision making. Previously at PwC he led MS Fabric and Azure deployments, blending SQL and Python engineering with stakeholder-driven change management to operationalise regulatory and business-remediation programmes. His background in computer vision and published research informs a practical ML and automation lens when designing data products, and he has hands-on teaching experience mentoring large cohorts in advanced CV topics. Known for bridging technical delivery with rigorous data governance, he consistently operationalises complex analytics into clinician-facing workflows.
9 years of coding experience
5 years of employment as a software developer
High School, Higher Education/Higher Education Administration, High School, Higher Education/Higher Education Administration at Sheth Chimanlal Nagindas Vidhyavihar
Master's Degree, Computer Science, 6.00/7.00, Master's Degree, Computer Science, 6.00/7.00 at University of Adelaide
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, 8.22/10, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, 8.22/10 at L.D. College of Engineering
International Experience Program, International Experience Program at Kansas State University
English, Hindi, Gujarati