Akshay Sardana
About Akshay Sardana
Akshay Sardana is a Senior Data Engineer with extensive experience in data management and machine learning. He has worked for notable companies including Meta, Point Predictive, and Barclays Investment Bank, and currently holds a position at Hearst.
Work at Hearst
Akshay Sardana is currently employed as a Senior Data Engineer at Hearst, a position he has held since 2023. In this role, he focuses on data engineering tasks that support the company's diverse media and information services. His responsibilities include managing data pipelines and ensuring data integrity across various platforms.
Previous Experience in Data Engineering
Before joining Hearst, Akshay Sardana worked at Meta as a Senior Data Engineer from 2022 to 2023. His career also includes a position at Point Predictive, where he served as a Senior Data & Machine Learning Engineer from 2020 to 2022. Additionally, he worked at 1stdibs.com as a Data Engineer from 2019 to 2020, contributing to data management and analysis in these roles.
Background in Software Engineering
Akshay Sardana began his career as a Software Engineer at Barclays Investment Bank, where he worked from 2016 to 2019. This foundational experience provided him with essential skills in software development and data management, which he later applied in his data engineering roles.
Education and Expertise
Akshay Sardana earned a Bachelor of Science (B.S.) degree in Electrical & Computer Engineering from Rutgers University–New Brunswick. His educational background supports his expertise in designing and implementing machine learning systems, as well as his proficiency in data warehousing solutions using AWS Redshift and Google BigQuery.
Technical Skills and Technologies
Akshay possesses strong technical skills in managing NoSQL databases, particularly MongoDB. He is experienced in big data technologies, including Apache Spark and Hadoop, which he utilizes for data processing. His skill set also includes implementing data warehousing solutions, enhancing his capability to handle large datasets effectively.