Prakash Chiluvuru

Aws Data Engineer @Fifth Third Bank

Cincinnati, OH, US

As a senior AWS Data Engineer, I design, automate, and optimize large-scale, cloud-native data pipelines supporting analytics, risk, and AI initiatives. I lead the architecture and development of secure, compliant, and high-performance data solutions across AWS, Snowflake, and Databricks ecosystems.Designed and deployed ETL pipelines with AWS Glue and Step Functions, processing 15+ TB/day and improving data delivery times by 40%.Built event-driven ingestion systems with Lambda and Kinesis, enabling real-time processing of 1M+ records per minute with sub-5-second latency.Optimized Snowflake performance using micro-partitioning and clustering, reducing compute costs by 30% and query time by 45%.Automated infrastructure provisioning using Terraform, cutting environment setup time from 2 days to 30 minutes.Developed and deployed ML feature pipelines using SageMaker and Databricks, improving fraud detection accuracy by 25%.Implemented LLM-based RAG pipelines with AWS Bedrock and OpenSearch to automate compliance reporting and document intelligence.Orchestrated 100+ data workflows with Airflow (MWAA) and CI/CD pipelines using Jenkins and CodePipeline, achieving 99.9% reliability.Collaborated with compliance teams to ensure GDPR and PCI-DSS adherence with 100% audit success.

University of North Texas

Advanced Data Analytics