Jamshad Khan
About Jamshad Khan
Jamshad Khan is a Senior Lead Data Engineer currently working at Brillio in Bengaluru, Karnataka, India. He has extensive experience in data engineering and IT, having previously held positions at NatWest Group, Tech Mahindra, Tata Consultancy Services, and HCL Technologies.
Work at Brillio
Jamshad Khan currently holds the position of Senior Lead Data Engineer at Brillio, where he has been employed since 2023. In this role, he is responsible for developing and maintaining data workflows, particularly utilizing Databricks. His work focuses on enhancing data processing, ETL, and analytics tasks, which contributes to improved efficiency and data quality within the organization.
Previous Experience at NatWest Group
Prior to his current role, Jamshad Khan worked at NatWest Group as a Big Data Engineer from 2017 to 2023 in Bengaluru, Karnataka, India. During his six years at NatWest, he developed expertise in managing large datasets and implementing data solutions that supported the organization's operational needs.
Career Background in IT
Jamshad Khan has a diverse background in information technology. He began his career at Tech Mahindra as a Solaris Administrator from 2010 to 2014. He then transitioned to Tata Consultancy Services as an IT Analyst from 2015 to 2017. Following this, he worked at HCL Technologies as a Linux Administrator for a year in 2014-2015, before joining NatWest Group.
Education and Expertise
Jamshad Khan holds a Master of Computer Applications (MCA) degree from Maharshi Dayanand University, which he completed from 2011 to 2014. He also earned a Bachelor's degree in Information Technology from the same university between 2007 and 2010. Additionally, he obtained a Postgraduate Diploma in Data Engineering from the International Institute of Information Technology Bangalore in 2022, further enhancing his expertise in data management and engineering.
Technical Skills and Contributions
In his professional roles, Jamshad Khan has developed Databricks workflows that improve data processing and analytics. He executes comprehensive testing procedures in various environments to validate Databricks notebooks and workflows, ensuring data accuracy and reliability. He also maintains Continuous Integration and Continuous Deployment (CI/CD) pipelines for Databricks workloads, facilitating seamless deployment processes.