Shubhankar Mukherjee
About Shubhankar Mukherjee
Shubhankar Mukherjee is a Data Engineer II at Advance Auto Parts in Hyderabad, India, with a background in computer science. He has held various data engineering roles across multiple companies, utilizing tools such as Talend and AWS for data migration and acting as a tech lead in his current position.
Work at Advance Auto Parts
Shubhankar Mukherjee has been employed at Advance Auto Parts as a Data Engineer II since 2022. He works in Hyderabad, Telangana, India, and has held this position for two years. In his role, he utilizes a combination of Talend and AWS pipelines to facilitate data migration to Datalake and Snowflake environments. Additionally, he acts as a Tech Lead, focusing on enabling data across downstream systems and collaborating with various stakeholders to ensure accurate data delivery.
Education and Expertise
Shubhankar Mukherjee earned a Bachelor of Engineering (B.E.) in Computer Science from Shri Shankaracharya Institute of Professional Management and Technology, where he studied from 2011 to 2015. His foundational education includes completing Class 10 and Class 12 at Holy Cross Senior Secondary School in Raipur, during the years 2008 to 2009 and 2010 to 2011, respectively. His academic background supports his expertise in data engineering and related technologies.
Previous Work Experience
Before joining Advance Auto Parts, Shubhankar Mukherjee worked at Optum as a Senior Data Engineering Analyst from 2020 to 2022 in Hyderabad, Telangana, India. He also served as a Data Engineer Specialist at GE Aviation from 2018 to 2020 in Bengaluru, Karnataka, India. His earlier roles include working as a System Engineer and Assistant System Engineer at Tata Consultancy Services from 2015 to 2018 in Kolkata, West Bengal, India.
Technical Skills and Tools
Shubhankar Mukherjee employs various technical skills in his data engineering role. He utilizes SQL scripts and Python-based coding components for data loading processes. His experience with Talend and AWS pipelines is crucial for data migration tasks. Additionally, his role as a Tech Lead involves enabling data across downstream systems, showcasing his proficiency in managing data workflows and collaborating with stakeholders.