Smit Shah is a Staff Software Engineer with 9 years of experience designing and operating cloud-native data platforms that process terabytes of data for retail analytics and ML. He has a strong track record building cost-efficient, real-time pipelines and orchestration (Kafka, Spark/Databricks, Airflow) and deploying OSS-driven architectures on Kubernetes with Terraform/Helm and CI/CD automation. At Foot Locker he delivered multi-region platforms running thousands of daily tasks, cut cloud spend by replacing vendor services and by surfacing DAG-level cost anomalies, and enabled measurable business outcomes like inventory improvements and higher PDP engagement. He blends hands-on engineering with platform thinking—authoring inner-source tooling (Jenkins, Artifactory, Terraform modules) that teams reuse—and mentors engineers on scalable, test-driven practices. Based in Tampa, he pairs advanced degrees in CS/Data Science with practical experience across AWS, Azure, GCP, Snowflake and Confluent ecosystems.
8 years of coding experience
8 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at Saint Peter's University
Master's degree Computer Science, Master's degree Computer Science at New York Institute of Technology
Bachelor of Engineering Electronic and Communications Engineering Technology/Technician, Bachelor of Engineering Electronic and Communications Engineering Technology/Technician at LDRP ITR
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