Muhammad Usman Sarwar

Principal Data Engineer with 11+ years of hands-on experience building and scaling mission-critical data platforms that process petabytes daily. Started contributing to production systems in the final semester of a B.Sc. Computer Science (2011–2015) and continued full-time while completing an M.Phil. (2016–2018). Recognized for designing highly reliable, cost-efficient lakehouse architectures, leading crossfunctional platform teams, and delivering measurable business impact at scale. Expert in modern data stacks (Spark, Flink, Kafka, Iceberg, dbt, Airflow/Kubernetes) across AWS, GCP, and multi-cloud environments. Sought-after technical leader who turns ambiguous requirements into production systems that hiring managers and engineering leaders trust immediately.