Ravichaitanya Mukkavilli is a Staff Data Engineer with 11 years of experience building petabyte-scale, cloud-native data platforms for financial services and enterprise customers. He’s proven at architecting high-throughput ETL/ELT and real-time streaming systems with Spark, Kafka, and GCP, driving 40–50% latency and cost reductions while cutting job execution times by half. Known for implementing AI-driven automation and observability—like automated refactors with OpenRewrite and Splunk-based monitoring—he standardizes best practices and mentors global teams. He pairs deep SQL and distributed-systems expertise with hands-on delivery of production-grade data lakes and optimized star/snowflake schemas that improved query performance and cluster efficiency. Based in Austin, he brings a pragmatic blend of system-level optimization and developer productivity improvements that quietly transform engineering operations.
11 years of coding experience
12 years of employment as a software developer
Jawaharlal Nehru Technological University Hyderabad
Master’s Degree, Master’s Degree at University of Illinois Springfield
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