Mohammed Mansoor Rahim
About Mohammed Mansoor Rahim
Mohammed Mansoor Rahim is a Senior Data Engineer with extensive experience in data engineering roles across various companies, including Adobe Inc and LTI. He holds a Bachelor's degree in Computer Science from Thiruvalluvar University and a Master's degree in Computer Applications from Bharathidasan University.
Work at LatentView Analytics
Currently, Mohammed Mansoor Rahim holds the position of Senior Data Engineer at LatentView Analytics. He has been with the company since 2021, contributing to various data engineering projects. His role involves leveraging data analytics to provide insights that drive business decisions. The work environment in Phoenix, Arizona, allows him to collaborate with a diverse team and engage in innovative data solutions.
Education and Expertise
Mohammed Mansoor Rahim completed his Bachelor's degree in Computer Science from Thiruvalluvar University, Vellore, from 2005 to 2008. He furthered his education by obtaining a Master of Computer Applications (MCA) from Bharathidasan University, Tiruchirappalli, from 2008 to 2011. His educational background provides a strong foundation in data engineering principles and practices.
Background in Data Engineering
Mohammed has accumulated extensive experience in data engineering through various roles in the industry. He began his career at HP as an Associate in 2011, followed by positions at Cognizant and Consim Info Private Limited. He then worked at AT&T as a Data Engineer and spent four years at LTI - Larsen & Toubro Infotech as a Senior Data Engineer before joining LatentView Analytics.
Achievements at Adobe Inc
During his tenure at Adobe Inc, Mohammed Mansoor Rahim made significant contributions to data engineering processes. He successfully migrated jobs from a legacy CRON scheduler to Tidal enterprise scheduler, reducing manual tasks by 60%. He also redesigned the code execution flow, achieving a 40% reduction in execution time and cost. Additionally, he created a roadmap for migrating on-premises data to Azure Databricks and implemented a generic data quality framework that improved operational efficiency.