Apoorv Kotnala
About Apoorv Kotnala
Apoorv Kotnala is a Data Engineer currently employed at Searce Inc in Pune, India. He has a background in computer science and experience in data engineering, having previously worked at Accenture and completed internships in cybersecurity.
Current Role at Searce Inc
Apoorv Kotnala currently serves as a Data Engineer at Searce Inc, a position he has held since 2022. His work is based in Pune, Maharashtra, India. In this role, he focuses on managing and analyzing large datasets, leveraging his expertise in cloud technologies.
Previous Experience at Accenture
Prior to his current role, Apoorv worked as a Data Engineering Associate at Accenture from 2021 to 2022. His tenure at Accenture lasted for one year and took place in Gurugram, Haryana, India. During this time, he contributed to various data engineering projects.
Internship Experience in Cybersecurity
Apoorv gained experience in cybersecurity through internships at two organizations. He worked as a CyberSec Intern at the Defense Research and Development Laboratory in 2018 for one month. He also completed a CyberSec Internship at Media Is You in 2019, again for one month, in the New Delhi area.
Educational Background in Computer Science
Apoorv completed his Bachelor of Technology in Computer Science at Maharaja Agrasen Institute Of Technology, Delhi, from 2016 to 2020. His education provided a strong foundation in data engineering principles and practices.
Academic Studies at The Air Force School
Before pursuing higher education, Apoorv studied at The Air Force School (TAFS), Subroto Park, from 2014 to 2016. During this period, he focused on subjects including Chemistry, Maths, and Physics.
Technical Skills and Certifications
Apoorv is proficient in using Google Cloud Platform (GCP) tools, specifically GCP Data Fusion and GCP BigQuery, for data management and analysis. He holds certifications as a Google Cloud Platform Professional Data Engineer (PDE) and Associate Cloud Engineer (ACE). Additionally, he has experience with Apache Hadoop, Apache Spark, and Apache Airflow for data processing tasks.