Sandhya Nunemunthala

• 10+ Years of experience in designing, developing, and maintaining AWS (Amazon Web Services), GCP (Google Cloud Platform) and Microsoft Azure • Certified in both AWS and GCP   • Designed and developed POC Solutions for Gen AI Data Pipeline using AWS Cloud and GCP Cloud. • Designed and developed multi-tenant data applications supporting Data Warehouse, Data Lake and Data Mart in AWS and GCP Cloud  In AWS Cloud I have used services like: Redshift, S3, RDS (Oracle, MySQL, MSSQL), Glue (Jobs, Connections, Notebooks, Crawlers & Catalog), EMR Cluster, Ec2, Step Function & Airflow, SNS Topic & SQS, Lambda (Functions & Layers), IAM (Roles & Policies), etc.,  In GCP Cloud I have used services like: BigQuery, Cloud Storage, Cloud SQL (Oracle, MySQL), Data Flow, Data Proc, Compute Engine, Cloud Composer, Pubsub, Cloud Function, IAM (Roles & Service Accounts), ect., • Hands-on experience designing and implementing Generative AI pipelines and LLM-based solutions across AWS and GCP cloud ecosystems to support chatbots, agentic workflows, and context-aware automation. • Designed and developed Proof-of-Concepts (POCs) for Gen AI applications using Amazon Bedrock, SageMaker JumpStart, Titan Embeddings, and Vertex AI with Gemini models to explore use cases in customer service, search augmentation, and document intelligence. • Created intelligent agents and workflow automations using Bedrock Agents, Amazon Lex, Comprehend, and AWS Step Functions to deliver context-aware, goal-driven task orchestration across cloud-native services. • Designed and developed highly scalable data applications for Machine Learning, Data Science and Generative AI Solutions to support real-time and batch use case in AWS and GCP Cloud  In AWS Cloud I have used services like: Glue, Lambda, OpenSearch, SageMaker, S3, DynamoDB,  In GCP Cloud I have used services like: Cloud Run, Cloud