Jewel Rahman
About Jewel Rahman
Jewel Rahman serves as a Machine Learning Solutions Architect and Engineer at Insight Global, where he has worked since 2020. He has extensive experience in data architecture and analytics, having held various roles in prominent companies and educational institutions.
Work at Insight Global
Jewel Rahman has been employed at Insight Global since 2020, serving as an ML Solutions Architect and Engineering. In this role, he focuses on developing and implementing machine learning solutions within the Dallas-Fort Worth Metroplex. His responsibilities include architecting data ingestion frameworks and ensuring the integration of various technologies to enhance data processing capabilities.
Previous Experience in Machine Learning and Data Architecture
Prior to joining Insight Global, Jewel Rahman worked at UnitedHealth Group as an ML and Analytic Solutions Architect from 2019 to 2020. His experience also includes roles at Parker Hannifin as a Solutions/Cloud/Data Architect and at Arcosa Inc. where he served as both Software Architect and Solution/Data Architect. Throughout these positions, he contributed to various projects involving data architecture and machine learning solutions.
Educational Background
Jewel Rahman holds an Engineer’s Degree in Industrial Engineering from Bangladesh University of Engineering and Technology, where he studied from 2000 to 2005. He furthered his education at Montana State University-Bozeman, obtaining a Master of Science (MS) in Information Systems Engineering from 2008 to 2010. His academic background provides a strong foundation for his work in data and analytic architecture.
Key Projects and Contributions
Jewel Rahman has played a significant role in various projects throughout his career. He led the development of a Recommender System for B2B product sales, focusing on end-to-end MLOps processes. Additionally, he designed a parameterized ETL pipeline framework utilizing Azure Data Factory, Databricks, and Synapse, and architected a data marketplace application for data asset management using Alation.
Technical Skills and Expertise
Jewel Rahman possesses extensive technical skills in machine learning, data architecture, and cloud technologies. He has experience with AWS Databricks, Airflow, DBT, Snowflake, and Azure Data Factory. His expertise includes architecting data ingestion plans and developing enterprise-level data and analytic architecture for global teams, showcasing his ability to manage complex data environments.