Aditya .
About Aditya .
Aditya is a Data Engineer currently employed at Thoughtworks in Bengaluru, India. He has previously worked at Optum and the Indian Institute of Technology, Delhi, and has experience in data integration, ETL pipeline optimization, and data quality enhancement.
Work at ThoughtWorks
Currently, Aditya works as a Data Engineer at ThoughtWorks in Bengaluru, Karnataka, India. He has been in this role since 2022. His responsibilities include utilizing advanced data engineering techniques to support various projects and initiatives within the organization. Aditya has contributed to enhancing data processes and ensuring the reliability of data systems.
Previous Experience at Optum
Aditya previously worked as a Data Engineer at Optum from 2020 to 2022 in Hyderabad, Telangana, India. In this position, he focused on data integration and optimization, contributing to the efficiency of data workflows. His experience at Optum helped him develop skills in managing complex data systems.
Summer Research Fellowships
Aditya has participated in summer research fellowships at notable institutions. In 2018, he served as a Summer Research Fellow at the Indian Institute of Technology, Delhi for two months. Additionally, in 2019, he worked at the Central Building Research Institute (CBRI) in Roorkee, Uttarakhand, India, also for two months. These experiences provided him with valuable research exposure and practical skills.
Education and Expertise
Aditya holds a Bachelor's degree in Electrical Engineering from the National Institute of Technology Silchar, where he studied from 2016 to 2020. His educational background includes studies at Jawahar Navodaya Vidyalaya in Muzaffarpur and Pondicherry. He has expertise in integrating payment gateway data with order data, implementing data quality frameworks, and orchestrating ETL pipelines using Kedro.
Key Contributions in Data Engineering
Aditya played a key role in the successful migration of the Order Management System (OMS), which served as a primary data source for multiple financial reports. He has implemented a Data Quality framework using Great Expectations to enhance data reliability and has experience in optimizing existing ETL pipelines to improve their efficiency and reliability.