About

Jay Vyas is a data engineer at Amazon with over 5 years of relevant experience in the field. He has a strong educational background, having completed his Bachelor's degree in Computer Science from K.J. Somaiya College of Engineering in Mumbai, India. He also holds a Master's degree in Computer Science from the New Jersey Institute of Technology in the United States. Jay has worked for some of the biggest names in the financial sector, including Jefferies and Bank of America, before joining Amazon. At Jefferies, he served as a technical data analyst and was responsible for designing and implementing data processing pipelines. He also worked as a data analyst at Bank of America, where he gained valuable experience in data modeling and analysis. Jay's technical expertise lies in data engineering, and he has a solid understanding of various data storage and processing technologies. He is proficient in SQL, Python, and Java, and has experience working with Hadoop, Spark, and AWS. He has also worked with various databases, including Oracle, MySQL, and MongoDB. At Amazon, Jay is responsible for designing and implementing data processing pipelines for large-scale data systems. He works closely with cross-functional teams to ensure data quality and reliability, and also provides technical guidance and mentorship to junior team members. Jay is a motivated and dedicated professional who is always looking to expand his knowledge and skills. He is passionate about data engineering and enjoys working on complex data problems. With his strong educational background and years of experience in the field, Jay is a valuable asset to any organization looking to build robust data systems.