Kumar Amit

Kumar Amit

Data Team Lead @ Confidential

About Kumar Amit

Kumar Amit is a Data Team Lead with extensive experience in data management and analytics. He has a strong background in utilizing AWS services and has worked in various roles across multiple companies, enhancing data processing and reporting efficiency.

Current Role and Responsibilities

Kumar Amit serves as the Data Team Lead at a confidential organization in Dubai, United Arab Emirates, since 2022. In this role, he manages Redshift cluster operations, focusing on load balancing to optimize performance. He utilizes Amazon QuickSight for report development and distribution to stakeholders. Kumar regularly conducts business meetings with stakeholders to gather requirements, ensuring timely project delivery.

Previous Work Experience

Kumar Amit has a diverse background in data-related roles. He worked as a Data Engineer/Data Scientist at Boutiqaat Beauty & Accessories Products from 2018 to 2020 in Kuwait. Prior to that, he was a Data Science Trainee at STMicroelectronics for 11 months from 2017 to 2018 in Greater Noida. He also served as a Data Analyst at Cynet Systems Inc for one year from 2015 to 2016 in Noida, Uttar Pradesh, India, and as a Trainee at Innova for 11 months from 2014 to 2015 in Noida. Additionally, he held the position of Deputy Manager - Analytics at Freecharge from 2020 to 2022 in Delhi, India.

Technical Skills and Tools

Kumar Amit possesses extensive technical skills in data management and analytics. He has implemented a system capable of processing over 1 TB of data daily, enhancing the efficiency of data pipelines. He has developed numerous AWS Glue jobs for ETL processes, facilitating data extraction, transformation, and loading into Redshift. Additionally, he has configured AWS SNS for job failure notifications, integrating alerts via email and Slack.

Education and Expertise

Kumar Amit holds an M.Tech in Data Analytics from Jaypee Institute of Information Technology, where he studied from 2016 to 2018. His academic focus included Data Science, Python, R, Machine Learning, Data Mining, Big Data, and Cloud Computing. This educational background has equipped him with the necessary skills to excel in his current and previous roles in data analytics and engineering.

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