Sayantan Dash
About Sayantan Dash
Sayantan Dash is a Staff Data Engineer at Altimetrik, where he has worked since 2023. He has a background in Information Technology and extensive experience in big data technologies, having held various engineering roles at companies such as Cognizant, Virtusa, and Teradata.
Work at Altimetrik
Sayantan Dash has been employed at Altimetrik as a Staff Data Engineer since 2023. He works in a hybrid capacity from Hyderabad, Telangana, India. In this role, he is involved in various data engineering tasks, leveraging his extensive experience in big data technologies.
Education and Expertise
Sayantan Dash earned a Bachelor of Technology (B.Tech.) degree in Information Technology from Meghnad Saha Institute of Technology, where he studied from 2009 to 2013. He has developed expertise in a variety of technologies, including Hadoop, Spark, Java, Hive, Pig, and AWS, among others.
Professional Background
Sayantan Dash has a diverse professional background in data engineering and software development. He began his career at Teradata as a Software Engineer from 2013 to 2016. He then worked at Tata Consultancy Services as a Hadoop Developer from 2016 to 2018, followed by a role as a Big Data Developer at Cognizant from 2018 to 2019. He served as a Lead Consultant at Virtusa for 10 months in 2020 and continued his career at Neustar, Inc. as a Senior Data Engineer from 2021 to 2023.
Certifications and Skills
Sayantan Dash has earned three certifications from Databricks, focusing on data extraction, Apache Spark SQL, and transformations and loads. His skill set includes a wide range of technologies such as Oozie, Sqoop, HBase, MapReduce, Oracle Database, Apache ZooKeeper, PostgreSQL, and Datameer.
Achievements in Data Engineering
In his previous roles, Sayantan Dash has been involved in architecture discussions and the implementation of complex business logic using various big data stacks for retail clients. His experience spans multiple industries, contributing to his comprehensive understanding of data engineering practices.