About

Arun Nautiyal is a skilled Data Engineer with over 7 years of experience in the field. He has worked extensively in Data warehouse development using ETL, MS SQL Server, Oracle 11g, Unix scripts, waterfall model and agile methodologies. Arun has also spent 4 years working with BigData technologies such as Hadoop, Hive, Impala, Python, Snowflake, and Spark. He has experience with Hadoop distributions like HDP, CDH & MapR and has worked on various projects in domains such as Banking, Insurance, Retail, Cards, and Pharma. Arun is currently working as a Data Engineer at Impetus, where he is contributing to building the Jumbune product for a large audience. He is responsible for migrating data from on-premise to cloud using AWS and Azure cloud services. Arun is also involved in the conversion of ETL jobs (Informatica, Data stage) to Big Data stack using Hive, Impala, SparkSql, Python, AWS, snowflake, Unix shell script, and Azure technologies. He is automating the whole conversion of scripts using Python and processing millions of records for a single table on a daily basis. Prior to his current role, Arun worked as a Programmer Analyst at Cognizant Technologies Limited and as a Senior Systems Engineer at Infosys. He has a Master of Engineering degree in Information Technology from IET and a Bachelor of Technology degree in Information Technology from the College of Engineering. Arun also holds a Diploma in Information Technology from Govt Polytechnic Srinagar Garhwal. Arun is UGC NET qualified for Assistant Professor in Computer Science and likes to share his knowledge in public. His tech stack includes Data Engineering, AWS, Python, SQL, ETL, Snowflake, Azure, Hadoop, Big Data, Apache Hive, Spark, Data Warehouse, Senior Software Engineer, and Software Engineer. With his extensive experience and skills, Arun is a valuable asset to any organization looking to leverage data for business growth.