Chandradev Singh
About Chandradev Singh
Chandradev Singh is an Enterprise Data Architect with over 22 years of IT experience, currently working at HSBC in London. He has a strong background in data architecture, data science, and solution architecture, with expertise in big data solutions and various cloud platforms.
Work at HSBC
Chandradev Singh currently serves as an Enterprise Data Architect at HSBC, a position he has held since 2022 in London, England. His previous roles at HSBC include working as a Data Architect from 2013 to 2018 and as an Infra Managed Service PM - Lead from 2021 to 2022. Over his tenure at HSBC, he has contributed to various data architecture initiatives, leveraging his extensive experience in data management and solution architecture.
Previous Experience at Capgemini
Before joining HSBC, Chandradev Singh worked at Capgemini as a Data Architect for a period of 7 months in Hong Kong from 2020 to 2021. In this role, he focused on data architecture solutions, applying his skills in data strategy and governance to support client projects.
Education and Expertise
Chandradev Singh holds a Master of Computer Applications (MCA) from Barkatullah Vishwavidyalaya, where he studied from 1996 to 1999. He also earned a BSc and MSc Pre in Mathematics, Physics, and Chemistry from Awadhesh Pratap Singh Vishwavidyalaya, completing his studies from 1992 to 1996. His educational background supports his expertise in data architecture, data science, and solution architecture.
Professional Background
With over 22 years of IT experience, Chandradev Singh has worked in various roles across multiple industries, including banking, investment banking, insurance, and energy & utilities. His career includes significant positions at Fidelity International, Schroders, Wipro Limited, and Tech Mahindra, where he developed a strong foundation in data modeling, enterprise application integration, and big data solutions.
Technical Skills and Certifications
Chandradev Singh possesses a diverse skill set that includes proficiency in Java, Scala, Python, Hadoop, Spark, and various cloud platforms such as Google Cloud and Azure. He is TOGAF 9 Certified and has over 15 years of experience in solution architecture design, particularly in OLTP and OLAP applications. His expertise extends to data modeling, artificial intelligence, and machine learning, as well as both Waterfall and Agile methodologies.