Sai Santosh

About Sai Santosh

I help organizations move from managing data to orchestrating intelligence.With 15+ years of experience building and leading enterprise-scale data platforms, I specialize in modern data architecture, AI-driven automation, and large-scale cloud transformation. My work focuses on turning complex data ecosystems into reliable, cost-efficient, and insight-driven platforms that directly accelerate business outcomes.What I Do BestTechnical Strategy & LeadershipI have led high-impact engineering initiatives at Amazon, defining technical roadmaps, mentoring engineers, and delivering “force multiplier” platforms that materially improve developer productivity and platform adoption.GenAI & Data InnovationI design and integrate GenAI solutions across the data lifecycle, including LLM-powered agents on AWS Bedrock for SQL optimization, metadata intelligence, and governance automation and cutting compute costs by 50% while simplifying complex workflows through MCP-based integrations.Architecture at ScaleI architect and modernize large data platforms using Iceberg-based data lakes, Athena, Lake Formation, EMR, Glue and Spark. I have led migrations of 200+ legacy pipelines to modern AWS stacks (EMR, Glue), delivering up to 90% gains in operational efficiency and reliability.Operational Excellence & DataOpsI bring deep expertise in Infrastructure as Code (AWS CDK), DataOps, and CI/CD practices. My focus is reducing time-to-insight from weeks to days while maintaining 99.9% pipeline reliability and strict compliance with GDPR, PII, and SOX requirements.Business Impact & ROII excel at translating technical complexity into measurable business value, delivering enterprise analytics and data platforms across Shipping, Retail, Finance, and Manufacturing domains.Core Skills & ExpertiseData Strategy: Platform vision, roadmap execution, modernizationBig Data & Analytics: Spark (PySpark), AWS EMR, Redshift, Iceberg, SnowflakeGenAI & ML Engineering: LLM agents, AWS Bedrock, SQL intent classification, prompt engineeringOrchestration & DevOps: AWS CDK, Lambda, MWAA (Airflow), GitLab CI/CD, DockerGovernance & Optimization: Data access models (RBAC), performance tuning, cost optimization, data quality

Experience

1. Data Engineer

   Amazon Web Services (AWS)

   May 2020 — Present · Seattle, WA, US

Education

• Jawaharlal Nehru Technological University

  B tech, Electronics

  2004 — 2007

Skills

• Db2
• Business Intelligence
• Analysis Services
• Soa
• Datastage
• Analytics
• Sql
• Business Intelligence Tools
• Data Integration
• Oracle
• Requirements Analysis
• Dimensional Modeling
• Java
• Data Migration
• Business Objects
• Cognos
• Enterprise Resource Planning (Erp)
• Olap
• Requirements Gathering
• Big Data
• Erp
• Teradata
• Philanthropy
• Informatica
• Software Project Management
• Unix Shell Scripting
• Microsoft Sql Server
• Unix
• Data Modeling
• Data Warehousing
• Sql Server Reporting Services (Ssrs)
• Etl
• Ssis
• Data Warehouse Architecture
• Tm1
• Ssrs
• Sdlc
• Solution Architecture
• Databases
• Pl/Sql