Laukik Panse
About Laukik Panse
Laukik Panse is a Data Engineer II at Condé Nast, with a background in data engineering and software development. He has worked at various organizations, including Sony Music Entertainment and Satin Solutions, and holds a Master's Degree in Computer Science.
Current Role at Condé Nast
Laukik Panse currently holds the position of Data Engineer II at Condé Nast, a role he has occupied since 2023. In this capacity, he is responsible for advanced data engineering tasks, contributing to the company's data infrastructure and analytics capabilities. His experience at Condé Nast builds upon his previous role as Data Engineer I from 2021 to 2023, where he developed foundational skills in data processing and management.
Previous Experience in Data Engineering
Before joining Condé Nast, Laukik Panse worked as a Senior Data Engineer at Sony Music Entertainment from 2020 to 2021. His responsibilities included developing and implementing data processing solutions. He also served as a Data Engineer at The Stow Company from 2018 to 2019, where he further honed his skills in data engineering. His early career included a position as a Software Developer at Satin Solutions, LLC in 2018 and as a Python Developer at Ashwini Hospital from 2015 to 2016.
Educational Background
Laukik Panse has a robust educational background in computer science and engineering. He earned a Master's Degree in Computer Science and Information Sciences from the New York Institute of Technology in 2017. Prior to that, he completed a Bachelor's Degree in Computer Science and Information Systems from Vilasrao Deshmukh Foundation in 2015. His foundational education includes a Diploma in Computer Science Engineering from D. Y. Patil College of Engineering & Technology, which he completed in 2011.
Technical Skills and Expertise
Laukik Panse possesses extensive technical skills in data engineering. He has developed efficient data processing scripts using Python and has implemented best practices for data governance and security. His expertise includes leveraging AWS services such as S3, EC2, Lambda, and Glue for scalable cloud-based solutions. He is proficient in using automation tools like Fivetran and version control tools such as Git, which enhance the efficiency of data engineering processes. Additionally, he utilizes Terraform for infrastructure as code.