Hi, I'm Revanth
Data | Cloud | DevOps
Data | Cloud | DevOps
I'm a passionate Cloud and Data Engineer with 7+ years of expertise in building scalable infrastructure and data solutions that drive business value. With a strong foundation in AWS services, DevOps practices, and modern engineering tools, I help organizations architect robust, efficient systems that transform data into actionable insights.
My experience spans across designing cloud-native architectures, implementing automated CI/CD workflows, building high-performance data pipelines, and optimizing infrastructure for scale. Whether it's architecting multi-cloud solutions, orchestrating containerized applications, or processing petabytes of data, I thrive on solving complex technical challenges and delivering reliable, cost-effective solutions.
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.
I'm always interested in discussing data engineering, cloud challenges and opportunities.