Featured Projects

Built a scalable real-time data pipeline processing 10M+ events daily using Kafka, Spark Streaming, and AWS services. Implemented exactly-once processing semantics and achieved sub-second latency.

Designed and implemented a cloud-native data lake on AWS handling 50TB+ of data. Created automated data ingestion pipelines with quality checks and cataloging using AWS Glue and Athena.

Developed an end-to-end MLOps platform with automated model training, versioning, and deployment pipelines. Reduced model deployment time from weeks to hours.

Automated complete infrastructure provisioning using Infrastructure as Code, reducing deployment time by 80% and ensuring consistency across environments.

Built a comprehensive data quality monitoring system with automated anomaly detection, data profiling, and alerting mechanisms for critical data pipelines.

Developed an automated cloud cost optimization system that reduced AWS spending by 40% through intelligent resource scheduling and right-sizing recommendations.