Summary
Saeed Mohajeryami is a Senior Data Engineer with nearly a decade of experience building large-scale data platforms and production ML pipelines, currently architecting GCP-based data foundations and dbt-orchestrated claims processing at Vida Health. He combines deep data engineering skills (Spark, Kafka, Airflow, BigQuery, Snowflake) with software engineering fluency in Python, Scala, and Java to deliver high-throughput ETL and transformation systems that have cut processing time and scaled clinical data workflows. At Komodo Health he engineered parallel Spark-based pipelines that improved throughput tenfold, and at Accenture he led data science efforts that put models into production for major clients like Google Play. A published researcher with a PhD and over 30 papers (h-index 14), he brings rigorous analytical thinking and a propensity for measurable infrastructure improvements. He is also certified as an AWS Solutions Architect and routinely codifies reproducible, secure data infrastructure using Terraform, Kubernetes, and CI/CD practices.
9 years of coding experience
5 years of employment as a software developer
English