Abdul Rahuman
About Abdul Rahuman
Abdul Rahuman is a Data Architect currently employed at Brillio in Bengaluru, Karnataka, India, where he has worked since 2022. He has a diverse background in data management and architecture, having held various roles at companies such as Pearson and GlobalEnglish over the past decade.
Work at Brillio
Abdul Rahuman has been employed at Brillio as a Data Architect since 2022. In this role, he has focused on defining data architecture considerations and creating a custom ETL framework. He has worked extensively with technologies such as Snowflake, Azure Data Lake Storage (ADLS), and SnowSQL, contributing to the company's data management and analytics capabilities.
Previous Experience at Pearson
Prior to his current position, Abdul Rahuman worked at Pearson as a Technical Manager - Projects from 2014 to 2018. During his four years in this role, based in the Chennai Area, India, he was responsible for overseeing various technical projects, ensuring successful delivery and alignment with organizational goals.
Career at GlobalEnglish
Abdul Rahuman held multiple positions at GlobalEnglish between 2008 and 2014. He began as a Software Engineer, later advancing to Project Lead and Associate Module Lead. His responsibilities included implementing use cases based on solution architecture proposals for clients such as Franklin Templeton and managing project deliverables.
Education and Expertise
Abdul Rahuman earned a Bachelor of Technology (B.Tech) degree in Information Technology from Ranipet Engineering College, where he studied from 2002 to 2007. He also completed his secondary education at Sacred Heart Higher Secondary School from 1996 to 2002. His educational background laid the foundation for his expertise in data architecture and management.
Skills and Technical Proficiencies
Abdul Rahuman has developed a range of technical skills throughout his career. He is proficient in creating custom views, writing stored procedures, and implementing key clustering techniques. His experience includes engaging in performance tuning parameters and managing data warehouses, which are critical for optimizing data processes.