Apoorv Mehrotra
About Apoorv Mehrotra
Apoorv Mehrotra is a Lead Data Engineer with expertise in building scalable data pipelines and maintaining data quality. He has previously worked at Capgemini Engineering and Algoscale, and holds a Bachelor of Technology in Computer Science from JECRC University.
Work at Atrium
Apoorv Mehrotra currently holds the position of Lead Data Engineer at Atrium, where he has been employed since 2023. His role involves overseeing data engineering processes and ensuring the efficient management of data workflows. The work environment is hybrid, allowing for a combination of remote and in-office collaboration. His responsibilities include building scalable data pipelines and maintaining data quality across various projects.
Previous Experience at Capgemini Engineering
Before joining Atrium, Apoorv Mehrotra worked at Capgemini Engineering as a Senior Analyst from 2019 to 2022. During his three-year tenure in Pune, Maharashtra, India, he focused on maintaining large datasets and optimizing data workflows. His experience at Capgemini contributed to his expertise in data processing and quality assurance.
Experience at Algoscale
Apoorv Mehrotra served as a Data Engineer at Algoscale from 2022 to 2023. His role was remote and allowed him to further develop his skills in data engineering. This position followed his time at Capgemini Engineering and contributed to his overall experience in the field.
Education and Expertise
Apoorv Mehrotra earned a Bachelor of Technology (B.Tech.) in Computer Science from JECRC University, where he studied from 2015 to 2019. His educational background laid the foundation for his technical skills in data engineering. He also completed his Senior Secondary School education at Kendriya Vidyalaya, where he studied from 2012 to 2013, and further pursued Higher Secondary School at the same institution from 2014 to 2015.
Technical Skills and Specializations
Apoorv Mehrotra specializes in building scalable data pipelines and has proficiency in various technologies, including Apache Spark, SQL, Apache Nifi, Airflow, Python, AWS, Azure, and Kubeflow. He has expertise in data processing, exploratory data analysis (EDA), data validation, and data ingestion, particularly in PostgreSQL. His technical skills enable him to effectively manage and optimize data workflows.