Aditya Kalia
About Aditya Kalia
Aditya Kalia is a Senior Data Engineer with expertise in developing data platforms and analytics capabilities. He has held various roles in data engineering and analysis across multiple companies, including Sourcegraph, Pinto, and Apple.
Work at Sourcegraph
Aditya Kalia serves as a Senior Data Engineer at Sourcegraph, a position he has held since 2022. In this role, he focuses on developing data platforms and enhancing analytics capabilities. His work involves building data infrastructure and creating ETL/ELT pipelines, which are essential for efficient data processing and management.
Previous Experience in Data Engineering
Before joining Sourcegraph, Aditya Kalia worked at Pinto as a Senior Data Engineer from 2021 to 2022. He initially joined Pinto as a Data Engineer from 2020 to 2021. During his tenure, he played a key role in the company's acquisition by building and leading the Data Engineering team, showcasing his leadership and technical skills in data management.
Early Career and Other Roles
Aditya Kalia has held various positions prior to his current role. He worked as a Project Control Officer at Finastra for three months in 2016 and as an Operations & Data Analyst at Ritual.co in 2018. Additionally, he served as a Data Analyst at Precima in 2017 and as an iPhone Operations Engineer at Apple for three months in 2018. His diverse experience spans multiple industries and roles, contributing to his expertise in data analytics.
Education and Expertise
Aditya Kalia earned a Bachelor of Applied Science (B.A.Sc.) in Engineering/Industrial Management from the University of Waterloo. His educational background provides a strong foundation for his work in data engineering and analytics, equipping him with the necessary skills to develop complex data systems and processes.
Skills in Data Infrastructure Development
Aditya Kalia specializes in developing data platforms and analytics capabilities. He has extensive experience in building data infrastructure and creating ETL/ELT pipelines from the ground up. This expertise allows him to effectively manage and analyze large datasets, contributing to informed decision-making within organizations.