Chandra Kanth Darapeneni

About Chandra Kanth Darapeneni

Senior Data Engineer with 6+ years of experience building data platforms using AWS…

Experience

1. Senior Ai Data Engineer

   T-Mobile

   Mar 2026 — Present · Bellevue, WA, US

   Building AI data infrastructure at T-Mobile\'s scale — LLM pipelines, real-time Kinesis streams, and model-ready datasets powering the next gen AI.\"→ Engineered AWS Glue + PySpark pipelines that transform raw event data into versioned, model-ready datasets in S3 — serving as the primary data source for LLM training and fine-tuning workflows at T-Mobile scale.→ Created lightweight ingestion services using Lambda and Step Functions to bring in data from external systems, standardize it, and land it cleanly into S3 layers.→ Set up real-time data streams with Kinesis, making sure events reached ML systems with minimal delay while handling duplicates and evolving schemas.→ Put together Redshift schemas and dbt models so analytics and ML teams could rely on consistent, well-structured data for reporting and evaluation.→ Introduced validation steps inside Glue jobs along with CloudWatch monitoring to catch bad data early, before it impacted downstream use.→ Managed infrastructure using CloudFormation and IAM, keeping environments secure and easy to reproduce across dev and production.→ Used Athena and SQL checks during early pipeline stages to validate data assumptions and avoid unnecessary rework later.→ Migrated pipeline deployment to a fully automated CI/CD workflow (CodePipeline + CodeBuild), eliminating manual deployment steps and reducing release cycle time by ~60%.→ Built ingestion layers for DynamoDB and RDS sources with logic to handle bad records gracefully without stopping entire workflows.

Education

• Wilmington University

  Master's degree

  2022 — 2024

• Guru Nanak Institutions(GNI)

  Bachelor of Technology - BTech