About

Arpit Sidana is an experienced data engineer currently working at Capital One. With over 5 years of relevant experience in the field, he has developed a strong skill set in data engineering and data science. Arpit is a highly motivated individual with a passion for solving complex problems in the data space. In his current role as a data engineer at Capital One, Arpit is responsible for designing and implementing data pipelines, developing data models, and maintaining data infrastructure. Prior to this, he worked as a senior data analyst at Capital One, where he gained valuable experience analyzing large datasets and providing insights to stakeholders. He has also worked as a senior consultant at o9 Solutions, where he worked on various projects related to supply chain optimization. Arpit has a strong educational background, having completed his Bachelor's degree in Computer Science from Amity University and his Master's degree in Business Analytics from the University of Minnesota. He also holds a certification in Data Engineering from Google Cloud Platform. Throughout his academic career, Arpit has demonstrated a strong aptitude for data analysis and has consistently excelled in his coursework. In addition to his technical skills, Arpit is a strong communicator and collaborator. He is able to work effectively with cross-functional teams and is skilled at presenting complex data insights to non-technical stakeholders. Arpit is a lifelong learner who is always looking to expand his skill set and stay up-to-date with the latest trends in the data space. Overall, Arpit is a highly skilled data engineer with a proven track record of success. He is a valuable asset to any team and is always looking for new challenges to tackle in the data space.