Summary
Vinay Joshi is a Principal Data Architect with 25+ years in technology and over a decade as a hands-on data practitioner, now based in Sunnyvale, CA. He designs and ships cloud-agnostic, extensible data platforms and products—most recently leading DataMorph.ai from concept to production and architecting multi-vendor Spark engines, CI/CD, and observability integrations. Vinay has repeatedly delivered Lakehouse and streaming platforms that cut processing times from days to hours, enforced schema evolution to reduce pipeline stoppages by >90%, and enabled broad self-serve capabilities for business users. His background spans founding engineering roles, enterprise architecture at companies like Nordstrom, Experian and Airbnb, and solution work with Cloudera and Confluent, reflecting both startup velocity and large-org rigor. He codes across modern stacks (C#, Python, Java, JavaScript) and brings a practical focus on data quality, schema evolution and operationalizing pipelines that few architects combine with deep product-building experience.
9 years of coding experience
29 years of employment as a software developer
Master of Science in Engineering, Master of Science in Engineering at University of California, Berkeley
Bachelor of Engineering, Bachelor of Engineering at COEP Technological University
Loyola High School and Junior College, Pune