About

Mayank Tripathi is a skilled Data Engineer with 3.20 years of relevant experience in designing and implementing complex data workflows. He is currently working at TCS as a Data Engineer, where he has been involved in developing and optimizing data pipelines using technologies such as Hive, Sqoop, Presto, and Python scripts. Mayank has a strong understanding of competitive programming and data structures, which has helped him excel in his role. In his previous roles at Samsung, Mayank worked as both a Data Engineer and a Senior Data Engineer. During his time there, he designed and implemented Oozie workflows to generate statistics from raw data, which helped optimize the process of displaying ads on screens. He also worked on a repository of Python files that classified ads based on their content and wrote Python unit test cases. Additionally, Mayank has experience working with Apache NIFI and automating tasks using the Pandas library. Mayank has a strong technical background, with programming knowledge in Java, Python, and C. He also has a deep understanding of AWS services such as Athena, Glue, S3, RDS, Redis, and EMR. Furthermore, Mayank is well-versed in system design concepts, which has helped him design and implement scalable and efficient data workflows. Mayank has a Bachelor's degree in Computer Science from Shri Ram Murti Smarak College of Engineering & Technology and is currently pursuing a degree in Software Engineering from Scaler Academy. He also attended G.N. National Public School and Gorakhpur Public School for his primary and secondary education, respectively. Mayank's tech stack includes Data Engineering, Python, AWS, Mobile, Amazon Athena, Apache Hive, Redis, Java, Pandas, HDFS, Software Engineering, Backend, and Kafka. With his strong technical skills and experience in designing and implementing complex data workflows, Mayank would be a valuable addition to any team.