Sai

Ai Data Engineer @Centene Center For Health Transformation

Tampa, FL, US

Designed scalable Snowflake ELT pipelines using dbt, dbt Cloud, and SQL integrating APIs, SaaS platforms, databases,and event streams, processing 50M+ records monthly to power AI analytics and scalable data products.• Built AI-ready data models and feature layers in Snowflake using Snowflake Cortex AI for embedding generation,semantic classification, and LLM-assisted summarization, improving retrieval relevance by 41% across 15+ documentcategories.• Integrated AWS Bedrock and Lambda to operationalize AI inference workflows and automate claims document processing, reducing manual review effort by 29% and cutting compliance processing time by 3 days per cycle.• Implemented Medallion Architecture data quality and governance using dbt Tests, Great Expectations, RBAC, andAzure Key Vault, achieving 99.6% pipeline reliability SLA across production Snowflake workloads.• Integrated Pinecone vector databases with Snowflake AI pipelines using LangChain and Bedrock Agents, enablingRAG-powered semantic retrieval supporting 8+ enterprise healthcare AI applications.• Collaborated with AI engineers, data scientists, and business stakeholders to document data models and AI designdecisions, translating 12+ GenAI use cases into production-grade data solutions.