Abhinav Bahuguna
About Abhinav Bahuguna
Abhinav Bahuguna is a Data Engineer currently working at REEF in Miami, Florida, with prior experience as a Senior Software Engineer at Wipro Limited for ten years. He holds a Master of Technology in Computer Science from Birla Institute of Technology and Science, Pilani, and has developed expertise in AWS services and event-driven stream data processing.
Work at REEF
Abhinav Bahuguna has been employed at REEF as a Data Engineer since 2021. His role involves utilizing AWS services to manage data engineering tasks effectively. He focuses on automating deployments related to Big Data and Analytics within containerized infrastructures. His work contributes to the optimization of data processes and enhances the overall efficiency of data management at REEF, located in Miami, Florida.
Previous Experience at Wipro Limited
Prior to joining REEF, Abhinav Bahuguna worked at Wipro Limited for a decade, from 2011 to 2021. He held the position of Senior Software Engineer, where he gained extensive experience in software development and engineering practices. His tenure at Wipro allowed him to develop a strong foundation in various technologies and methodologies relevant to the software engineering field.
Education and Expertise
Abhinav Bahuguna holds a Master of Technology (MTech) degree in Computer Science from the Birla Institute of Technology and Science, Pilani, which he completed from 2010 to 2014. He also earned a Bachelor of Computer Applications (BCA) degree from Graphic Era University, Dehradun, between 2007 and 2010. His educational background has equipped him with a solid understanding of computer science principles and practices.
Technical Skills and Specializations
Abhinav Bahuguna has developed expertise in event-driven stream data processing, particularly using Apache Airflow. He is proficient in designing and deploying container infrastructure on the AWS Cloud platform, utilizing services such as EC2, S3, Lambda, and Redshift. His skills also include monitoring and logging platforms essential for data engineering processes, emphasizing automation in Big Data and Analytics deployments.