Abhishek Ganguly

Abhishek Ganguly

Sr. Data Engineer @ NJM Insurance Group

About Abhishek Ganguly

Abhishek Ganguly is a Senior Data Engineer with extensive experience in data manipulation and cloud technologies. He currently works at NJM Insurance Group and has previously held positions at Bills.com, Synchrony, and Walmart.

Work at NJM Insurance Group

Abhishek Ganguly has been employed as a Senior Data Engineer at NJM Insurance Group since 2021. He has contributed to various data engineering projects within the organization, leveraging his expertise in data manipulation and automation. His role involves utilizing advanced data engineering techniques to support the company's data infrastructure and analytics initiatives.

Previous Experience at Bills.com

Prior to his current role, Abhishek Ganguly worked as a Senior Data Engineer at Bills.com from 2019 to 2020. During his tenure in San Mateo, California, he focused on enhancing data processes and systems, contributing to the overall efficiency of the company's data management.

Experience at Synchrony

Abhishek Ganguly served as a Data Engineer at Synchrony from 2017 to 2019 in Chicago, Illinois. In this role, he was responsible for developing and maintaining data solutions that supported business operations, utilizing his skills in data engineering to drive improvements.

Educational Background in Computer Science

Abhishek Ganguly earned a Bachelor's degree in Computer Science from JNTUH College of Engineering Hyderabad. His academic background provided a strong foundation in data engineering principles and practices, which he has applied throughout his professional career.

Technical Skills and Expertise

Abhishek Ganguly possesses a range of technical skills relevant to data engineering. He is proficient in Python for data manipulation and automation tasks, particularly in AWS environments. His expertise includes integrating AWS DynamoDB with AWS Lambda, designing data warehouses on platforms like AWS Redshift and Azure SQL Data Warehouse, and using Apache Airflow for process automation.

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