About

Arnav Shah is a skilled Data Engineer with over 3 years of experience in the industry. He holds a Master's degree in Computer Science from New York University and has a strong background in AWS technologies such as S3, EC2, CloudFormation, DMS, Glue, and Athena, as well as Snowflake, Airflow, SQL, Informatica, Data warehousing, Python, JAVA, Data Structures, Algorithms, and Data modeling. Currently working at Cognizant as a Data Engineer, Arnav is responsible for data integration, data engineering, and data migration from Relational databases to Snowflake. He uses Blade Bridge Studio, Snowflake, AWS DMS, AWS S3, Airflow, AWS CloudFormation, and AWS Athena to implement SCD Type 2 Datawarehouse and reduce data loading time from 30 hours to 8 minutes. In the past, Arnav has worked as a Software Data Operations Engineer at Maq Software, where he gained experience in SQL, Databricks, Requirements Gathering, Microsoft Azure, and Power BI. He has also worked as a Data Engineer at Intellinum Analytics Inc, where he worked with AWS technologies. Arnav is passionate about Data Engineering and Software Engineering and is always looking to expand his knowledge in these areas. He is a quick learner and has excellent problem-solving skills. He is proficient in AWS, Data Engineering, Snowflake, SQL, Apache Airflow, Amazon Athena, AWS Glue, Integration, Databricks, Python, Java, and Azure. Overall, Arnav has 4.02 years of relevant experience in the industry and is a valuable asset to any team he works with.