Pushpendra Pathak
About Pushpendra Pathak
Pushpendra Pathak is a Data Engineer with expertise in data mining, database management, and machine learning. He has a background in Computer Science, holding a Bachelor of Engineering from Institute of Engineering & Technology DAVV and a Master of Computer Science from North Carolina State University.
Work at FreeWheel
Currently, Pushpendra Pathak serves as a Data Engineer at FreeWheel in New York, United States. He has been with the company since 2022. In this role, he is responsible for the end-to-end processing of daily, weekly, and monthly data for various vendors. His work involves developing data analysis checks at multiple levels to ensure data integrity and accuracy.
Previous Experience at Nielsen
Prior to his current position, Pushpendra Pathak worked as a Data Engineer at Nielsen for seven months in Tampa, Florida, from 2021 to 2022. During his time at Nielsen, he contributed to data engineering projects that supported the company's analytics and data management initiatives.
Education and Expertise
Pushpendra Pathak holds a Bachelor of Engineering in Computer Science from the Institute of Engineering & Technology DAVV, Indore, where he studied from 2015 to 2019. He furthered his education by obtaining a Master of Computer Science from North Carolina State University, completing his studies in 2020. His expertise includes data mining, database management, and machine learning, and he is proficient in programming languages and technologies such as Python, Spark-Scala, Java, and C++.
Technical Skills and Tools
In his role as a Data Engineer, Pushpendra Pathak utilizes Hive MDL queries for effective data management. He specializes in monitoring and streamlining Airflow DAGs to enhance data pipeline management. His technical skills encompass a range of programming languages and technologies that support his work in data engineering and analytics.
Interests in Artificial Intelligence
Pushpendra Pathak has expressed an interest in exploring artificial intelligence and deep learning. This interest aligns with his background in computer science and data engineering, suggesting a commitment to staying updated with advancements in technology and data analysis.