Swapnil Pal
About Swapnil Pal
Swapnil Pal is a Principal Data Engineer with extensive experience in machine learning, data manipulation, and big data processing. He has worked for several technology companies and holds a Bachelor of Technology in Information Technology.
Work at Altimetrik
Currently, Swapnil Pal holds the position of Principal Data Engineer at Altimetrik, a role he has occupied since 2023. In this capacity, he focuses on data engineering projects, leveraging his extensive experience in machine learning and big data technologies. His responsibilities include implementing machine learning models and utilizing tools such as Azure Data Factory and Azure Databricks to enhance data processing capabilities.
Previous Experience in Data Engineering
Before joining Altimetrik, Swapnil Pal accumulated significant experience in the field of data engineering. He worked at Neudesic Technologies Private Limited as a Senior Consultant from 2021 to 2023. Prior to that, he served as a Data Engineer at DXC Technology from 2019 to 2020 and as an Associate at Cognizant from 2014 to 2019. Additionally, he spent 10 months at Version 1 as an Azure Ingestion & Integration Developer in 2020.
Education and Expertise
Swapnil Pal earned his Bachelor of Technology (BTech) degree in Information Technology from Govt. Engineering College Ajmer, where he studied from 2009 to 2013. He also completed his secondary and higher secondary education at All Saints Sr Sec School, focusing on Physics, Mathematics, and Chemistry. His educational background supports his expertise in data manipulation and analysis, particularly with tools like PySpark, Python-Pandas, and machine learning frameworks such as scikit-learn and Azure ML.
Technical Skills and Tools
Swapnil Pal possesses a range of technical skills relevant to data engineering and big data processing. He is proficient in using Hadoop and Hive for handling large datasets. His capabilities extend to writing Shell scripts for automation and data processing tasks, enhancing efficiency in data workflows. His expertise also includes utilizing Azure Data Factory and Azure Databricks, which are critical for modern data engineering projects.