About Ashish Upadhyay
Ashish is a seasoned solution architect and data engineer with 18 years of experience designing and implementing cloud-native platforms—over a decade focused on Azure, AWS, and hybrid architectures. He trains Fortune 500 engineering teams on AI-powered automation, DevOps best practices, and large-scale data engineering. His workshops leverage workflow orchestration (Airflow, n8n), ETL pipelines (ADF, Glue, Python), and generative-AI tooling (ChatGPT, Claude, Azure OpenAI).
Across roles at Maximus, CVS Aetna, Kaiser Permanente, Celink, and UnitedHealth Group, he has led serverless migrations, fraud-prevention analytics, and secure healthcare data platforms while mentoring on CI/CD and cloud security.
Expertise / Highlights
- 18 yrs cloud-native architecture
- Azure, AWS, Hybrid
- AI & DevOps trainer
- Workflow orchestration expert
- Led enterprise serverless migrations
