About

Mradul Saraf is an experienced Data Engineer II at Amazon with a demonstrated history of big data pipelines using serverless technologies and big data stack. He is skilled in AWS Stack, Hadoop, Hive, SQL, and Spark. With a Bachelor of Technology (BTech) focused in Computer Science from Maulana Azad National Institute of Technology, Mradul is a strong information technology professional. In his current role at Amazon, Mradul is responsible for designing, developing, and maintaining scalable data pipelines and data processing systems. He has a relevant experience of 5.78 years in the field of Data Engineering, Spark, Big Data, SQL, Hadoop, AWS, ETL, and Apache Hive. Prior to his current role, Mradul worked as a Data Engineer at Amazon and as a Senior Associate at Axtria. In both these roles, he was responsible for building and maintaining data pipelines and processing systems, and delivering high-quality data solutions to clients. Mradul's technical skills and expertise in data engineering have enabled him to work on complex projects and deliver innovative solutions. He has a strong understanding of data architecture, data modeling, and data warehousing. He is also proficient in programming languages such as Python, Java, and Scala. Overall, Mradul Saraf is a highly skilled and experienced Data Engineer with a strong track record of delivering high-quality data solutions. He is passionate about using his skills and expertise to drive innovation and create value for his clients.