AI Observability Engineering Leader at The Apache Software Foundation
Cupertino, California, United States
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Summary
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Senior
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Top School
Sheetal Dolas is an AI observability engineering leader with 12+ years of experience building large-scale hybrid-cloud data platforms and commercializing AI/ML-driven products. She has led global engineering organizations and cross-functional programs at scale—architecting systems that process billions of daily events and multi-petabyte lakes while driving measurable business impact like 15% YoY cloud revenue growth and 10% cost reduction. A patented inventor and trusted C-suite advisor, she has launched enterprise SaaS offerings, embedded predictive analytics and anomaly detection, and shipped proactive diagnostics that materially reduced support costs and increased sales. Equally at home in open source—she’s an active Apache committer—Sheetal blends deep distributed-systems technical chops (Kafka, Spark, Kubernetes) with product-first execution and a track record of turning research-grade ideas into revenue-generating platforms. Based in Cupertino, she combines enterprise transformation experience (Apple, Cloudera) with a knack for scaling teams and influence across global, hybrid environments.
11 years of coding experience
25 years of employment as a software developer
Bachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at Shivaji University
Extensible set of Storm topologies and topology attributes for streaming, enriching, indexing, and storing telemetry in Hadoop.
Contributions:6 commits in 16 days
storingindexingstreamingtopologystorm
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Sheetal Dolas - AI Observability Engineering Leader at The Apache Software Foundation