About

Utsav Agrawal is a highly skilled Data Engineer with over 3 years of experience in building end-to-end Big Data pipelines to implement AI/ML solutions at scale using cloud technologies. He is currently working at Tekion Corp. as a Software Engineer - Data, where he is focused on migration and building data models using Amazon Web Services (AWS) stack namely Glue, Athena, and S3. In the past, Utsav has worked with customers across the Retail industry to conceptualize, design, automate, and enhance their business operations on Microsoft Azure, displaying meticulousness in developing, testing, simulating, and documenting these solutions. Utsav has excellent hands-on experience in Big Data Technologies like Apache Spark Core, Spark Structured APIs, Spark SQL, PySpark, Azure Databricks, Hive, Python, and SQL. Utsav has completed his Bachelor of Engineering in Information Technology from Dwarkadas J. Sanghvi College of Engineering, University of Mumbai. He has worked as a Senior Data Engineer - Big Data and Data Engineer - Big Data at Quantiphi in the past. At Quantiphi, he has worked with Azure Cloud Tech Stack, including Storage Layer - Azure Blob, ADLS Gen 2, Delta Lake, Compute Layer - Azure Databricks, Orchestration Layer - Azure Data Factory, and CI/CD & Version Control - Azure DevOps with Git. Utsav has also worked with the Big Data Tech Stack, including Apache Spark Core & Spark Structured APIs (PySpark), Hadoop - HDFS, MapReduce, SQOOP, and Apache Hive. He has experience with other tools and technologies, including Python (including Pandas), SQL, Git for Version Control, VSCode & PyCharm for code development. Utsav's tech stack includes Spark, Big Data, AWS, Azure, Data Engineering, AI, SQL, Software Engineer, ML, Databricks, Python, test, Amazon Athena, Apache Hive, Web, DevOps, CI/CD, HDFS, MapReduce, Pandas, and Hadoop. With his relevant experience of 3.70 years, Utsav is a highly skilled Data Engineer who can build end-to-end Big Data pipelines to implement AI/ML solutions at scale using cloud technologies.