Amit is a Site Reliability Engineer specializing in enterprise observability and distributed systems reliability at Michelin North America. He designs and implements reliability frameworks for business-critical data pipelines, with a focus on bringing SRE principles to batch processing environments.

At Michelin, Amit pioneered the organization's latency-based SLO governance framework, protecting over $2 billion in invoice revenue through proactive monitoring and automated incident detection. His work on data freshness as a reliability signal represents a novel approach to batch system observability, enabling end-to-end visibility across multi-stage enterprise workflows. His research on enterprise observability patterns has been productionized across multiple business domains at Michelin and shared with international teams. He holds expertise in Splunk, distributed systems monitoring, SLI/SLO frameworks, and reliability engineering methodologies.