Summary
Saurav Verma is a seasoned data engineering leader with 12 years of experience building scalable, secure data platforms for e-commerce and financial domains, now driving App Store analytics at Apple. He designs and operates high-throughput batch and near-real-time pipelines (Spark, Kafka, Druid/Imply, Databricks, Trino) and has led multi-cloud Data Mesh, governance and GDPR initiatives at scale. A hands-on architect and former engineering manager, he has built datalake-as-a-service offerings, implemented serverless reactive patterns on AWS, and supported petabyte-scale ingestion and query workloads. He holds a patent for recommendation generation from Visa work and has presented Spark and serverless architectures at major industry summits, reflecting both deep technical craft and external influence. Notably, he combines startup agility (co-founder experience) with enterprise rigor in data security, access controls and cost-optimization efforts.
12 years of coding experience
14 years of employment as a software developer
Bachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at Sathyabama University
Master of Technology (M.Tech.) Computer Software Engineering, Master of Technology (M.Tech.) Computer Software Engineering at National University of Singapore