Amit Upadhyay

About Amit Upadhyay

Amit Upadhyay is a Senior Data Analytics and AI/ML Professional at Amazon Web Services (AWS)| Author | Technical Reviewer with extensive experience in mission-critical large-scale cloud transformation and database modernization initiatives for enterprise customers. He brings a strong blend of technical depth, strategic thinking, and delivery excellence, serving as a trusted advisor to C-suite executives, program leaders, and engineering teams.He holds a master\'s degree in computer science and completed the MIT Sloan executive program Artificial Intelligence: Implications for Business Strategy, with a focus on GenAI, ML, and enterprise automation. Amit specializes in end-to-end database transformation, guiding organizations from assessment and architecture through migration and optimization across AWS purpose-built data services.Beyond databases, he plays a critical role in analytics, data platforms, and AI/ML enablement, helping enterprises build scalable, future-ready data ecosystems. As a strategic thinker, Amit is a published AWS author and a technical reviewer for the AWS Certified Database – Specialty (DBS-C01) certification guide.His mission is to help organizations modernize with confidence and turn data into measurable business value.Few Published Blogs:•Migrate an IBM DB2 for iSeries database to Amazon Aurora PostgreSQL https://aws.amazon.com/blogs/database/migrate-an-ibm-db2-for-iseries-database-to-amazon-aurora-postgresql-using-blu-age-and-qlik-replicate/ •Replicating data between partitioned vs non-partitioned tables using trigger functions https://aws.amazon.com/blogs/database/replicate-data-between-partitioned-and-non-partitioned-tables-using-trigger-functions-in-amazon-rds-for-postgresql-or-amazon-aurora-postgresql/

Experience

1. Senior Database & Analytics Professionals

   Amazon Web Services (AWS)

   Aug 2020 — Present · Houston, TX, US

   Responsible for delivering strategic solution designs, proof of concepts, & best practices for AWS customers to refactor & modernize large scale in terabytes (TiB) of commercial, complex, & mission critical databases to AWS fully managed & purpose-built databases.Manages a portfolio of 15+ AWS Analytics services, including Data Lakes, Data Governance, Data Integration and Migration services.Drive Data & AI modernization for large enterprise accounts.Focus on Generative AI use cases and how organizations can drive value.

Education

• MIT Sloan School of Management

  Business Strategy

Skills

• Windows Server
• Ssis
• Disaster Recovery
• Ssrs
• Iis
• Sharepoint
• Cluster
• Data Center
• Database Administration
• Release Management
• Replication
• IT Infrastructure Management
• Scom
• Bmc Remedy
• Vss
• Databases
• Six Sigma
• Mcitp
• Oracle Enterprise Manager
• High Availability Clustering
• Log Shipping
• Mirroring
• Performance Tuning
• High Availability
• Sql Tuning
• Database Design
• Etl
• Dts
• Data Migration
• IT Operations
• Service Delivery
• Itil
• Capacity Planning
• Microsoft Sql Server
• Change Management
• Sql
• Requirements Analysis
• Sdlc
• Vb.net
• Software Development Life Cycle (Sdlc)