Sanjay Banthia

About Sanjay Banthia

Architecting scalable cloud and data solutions that transform how organizations leverage technology.I\'m a Solutions Architect at Amazon specializing in financial data systems and tax technology platforms. With 6+ years of experience, I design and build enterprise-grade solutions that enable data-driven decision-making at scale.What I Do: I architect end-to-end cloud solutions combining modern data engineering, AI/ML capabilities, and scalable infrastructure. My focus is translating complex business requirements into robust technical architectures that deliver measurable impact.Current Focus Areas: • Cloud-native architectures (AWS, multi-cloud strategies) • Data platform modernization & lakehouse architectures • AI/ML integration & generative AI applications • Financial systems & tax technology solutions • ETL/ELT pipelines & real-time data processing • Enterprise automation & intelligent workflowsTechnical Foundation: Solutions Architecture | Cloud Infrastructure (AWS, GCP)| Data Engineering | Python, SQL | Databricks, Snowflake | Machine Learning & GenAI | Terraform, Docker | Apache Spark | Data Modeling & GovernanceBackground: MS in Information Management & Data Science from Syracuse University | AWS & Databricks Certified | Former Data & Automation Architect at TCSWhat Drives Me: I\'m passionate about leveraging emerging technologies—particularly generative AI, cloud-native architectures, and modern data platforms—to solve real-world business challenges. I believe the best solutions come from understanding both the technical landscape and business context.Let\'s connect if you\'re interested in solution architecture, cloud transformation, or building data-driven organizations.

Experience

1. Solutions Architect

   Amazon

   Jan 2025 — Present · Seattle, WA, US

   Designing and Building Scalable Financial Models and Data Solutions for Tax Professionals Worldwide.

Education

• Syracuse University

  Master of Science - MS, Information Management with Specialization in Data Science

  2017 — 2019

• Sarvajanik College of Engineering & Technology

  BE, Information Technology

  2013 — 2017

Skills

• Microsoft Excel
• Microsoft Powerpoint
• R
• What-If Analysis
• Unified Modeling Language (Uml)
• Visual Studio
• Research
• C++
• C
• Data Analysis
• Public Speaking
• Business Judgement and Analysis
• Data Visualization
• Management
• Business Case Modelling
• Sql
• Ms Project
• Python
• R Studio
• Leadership
• Statistical Modeling
• Project Management
• Microsoft Word