Mayank Sharma
About Mayank Sharma
Mayank Sharma is a Lead Data Engineer at Treasure Data, with a background in data engineering and software development. He has worked at notable companies such as Adobe and Aon India, and holds a Bachelor of Technology in Information Technology from Gautam Buddha University.
Work at Treasure Data
Mayank Sharma has been serving as the Lead Data Engineer at Treasure Data since 2020. In this role, he is responsible for overseeing data engineering projects and implementing data solutions. His expertise in Python programming and Dimensional Modeling supports the development and optimization of data pipelines. His contributions are essential for enhancing data analytics capabilities within the organization.
Previous Experience at Adobe
Prior to his current role, Mayank Sharma worked at Adobe as a Consultant from 2018 to 2020. During his two years in the Noida Area, India, he focused on data-related projects, utilizing his skills in data engineering and analytics. His experience at Adobe contributed to his professional growth and understanding of industry standards.
Background in Software Engineering
Mayank Sharma has a solid background in software engineering, having worked at Aon India as a Senior Software Engineer from 2016 to 2018 and at Ericsson as a Software Engineer from 2014 to 2016. His roles in these organizations involved applying modern software development practices and Agile methodologies, which enhanced his technical skills and project management capabilities.
Education and Expertise
Mayank Sharma earned his Bachelor of Technology (B.Tech.) in Information Technology from Gautam Buddha University, completing his studies from 2009 to 2013. His educational background laid the foundation for his technical skills, including expertise in Geometric Dimensioning & Tolerancing and proficiency in Agile methodologies, which are valuable in the engineering and data fields.
Skills in Data Engineering
Mayank Sharma possesses strong skills in Python programming and Dimensional Modeling, both of which are critical in data engineering and analytics. His expertise enables him to design effective data structures and optimize data workflows, contributing to the efficiency of data management processes in his current and previous roles.