Muhammad Chaudhry
About Muhammad Chaudhry
Muhammad Chaudhry serves as the Global Head of Data Engineering at Tapestry, where he has worked since 2015. He has extensive experience in data management and engineering, having held various leadership roles at The Motley Fool and Liberty Medical Supply.
Work at Tapestry
Muhammad Chaudhry has served as the Global Head of Data Engineering at Tapestry since 2015. In this role, he has partnered with business and IT leadership to deliver strategic IT solutions and execute the corporate IT strategy. He has led the development of the Tapestry Data Exchange, a significant initiative in the company's data engineering strategy. Chaudhry has managed Tapestry's Enterprise Data Lake, Enterprise Data Warehouse, and Operational Data Store, utilizing various cloud technologies such as AWS S3, Glue, PySpark, and Snowflake. His contributions have been pivotal in Tapestry's transition to cloud-based solutions and the execution of its data center transformation strategy.
Education and Expertise
Muhammad Chaudhry holds a Master of Science in Information Systems from Strayer University, which he completed from 2000 to 2004. He also earned a Master of Business Administration (MBA) from the University of Pittsburgh, studying there from 2011 to 2012. His educational background provides a strong foundation in both technical and business disciplines, enhancing his capabilities in data engineering and IT strategy.
Background
Prior to his current role at Tapestry, Muhammad Chaudhry held various positions at The Motley Fool from 2006 to 2015, including Senior Database Administrator, Director of IT Operations, and Director of Business Intelligence Platform. He also worked as a Database Administrator at Liberty Medical Supply from 2004 to 2005. His early career included roles at Strayer University, where he served as a Computer Specialist and Help Desk support from 2000 to 2003.
Achievements
At Tapestry, Muhammad Chaudhry has played a key role in implementing next-generation enterprise data solutions in the cloud. He has architected data pipelines to process data from source systems into the data lake and has reviewed schemas, data models, and data architecture for Hadoop and Operational Data Store platforms. His work includes managing the application development life cycle in a SOX compliant environment and coordinating with external vendors for successful project delivery.