Ritik Kumar
About Ritik Kumar
Ritik Kumar is a Software Development Engineer I specializing in Data Engineering, currently employed at Altimetrik in Gurugram, Haryana, India. He has experience in data reconciliation, ETL pipeline development, and machine learning, with a strong educational background in Computer Science and Data Science.
Work at Altimetrik
Currently, Ritik Kumar holds the position of Software Development Engineer I specializing in Data Engineering at Altimetrik. He has been with the company since 2022 and is based in Gurugram, Haryana, India. In this role, he is responsible for monitoring over 500 Airflow jobs daily using Python scripts, ensuring efficient operations within the data engineering processes.
Previous Experience at Deloitte Consulting
Before joining Altimetrik, Ritik Kumar worked at Deloitte Consulting as an Associate Analyst for a period of seven months from 2021 to 2022. During his tenure in Gurugram, Haryana, he utilized Glue Crawlers to populate data reconciliation results and performed data analysis using AWS Athena. He also developed an ETL pipeline using AWS Glue to reconcile data between flat files containing up to 200 million records.
Education and Expertise
Ritik Kumar has a solid educational background in computer science and data science. He earned a Bachelor of Computer Applications from Maharaja Surajmal Institute, studying from 2018 to 2021. He furthered his education by obtaining a Master of Science in Data Science from Liverpool John Moores University, completing his studies from 2021 to 2023. Additionally, he pursued an Executive Post Graduate Program in Data Science at the International Institute of Information Technology Bangalore from 2021 to 2022.
Technical Skills and Machine Learning Proficiency
Ritik Kumar possesses a range of technical skills relevant to data engineering and machine learning. He is skilled in implementing various machine learning algorithms, including Linear and Logistic Regression, Clustering algorithms, and Tree models. He also has experience with deep learning algorithms, such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), utilizing TensorFlow and Keras. His hands-on experience extends to platforms like Databricks and Snowflake.