Omar al-Shammary
Machine Learning Engineer @The Cigna Group
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WORK HISTORY
Machine Learning Engineer @The Cigna Group
Bloomfield, CT, US
Designed and implemented a metadata ingestion pipeline using Atlassian and GitHub APIs, improving data retrieval efficiency by 50% and enabling real-time LLM responses- Migrated ETL workflows from AWS Lambda to AWS Glue, eliminating scalability bottlenecks. Automated data processing in Glue, reducing failure rates by 90% and increasing batch update capacity to records/day, enhancing data pipeline reliability- Developed and maintained a DAG scheduler with Apache Airflow, Python, and SQL to automate data pipelines from Teradata to AWS S3, processing millions of records — ensuring regulatory compliance with Virginia\'s healthcare cost estimator regulations & enabling seamless integration into the MyCigna application.
EDUCATION
University of Connecticut
Bachelor of Science - BS, Microbiology, General
University of Connecticut
Master of Science - MS, Econometrics and Quantitative Economics
University of Connecticut
Bachelor of Science - BS, Economics
ABOUT OMAR AL-SHAMMARY
I take AI systems from a hypothesis -> POC -> development -> production at scale…
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