About

Harshit Garg is a highly skilled Big Data Engineer with over 4.5 years of experience in the Supply Chain Domain. He is currently working as a Data Engineer III at Walmart, where he is responsible for deploying end-to-end ETL pipelines using Apache Airflow. Harshit has a deep understanding of various Big Data technologies, including Apache Spark, T-SQL, Apache Hive, Hadoop, Apache Kafka, and Python. He also has a strong proficiency in optimizing and writing high-performance SQL queries. Throughout his career, Harshit has worked with some of the biggest names in the industry, including Amazon and Dunnhumby, where he held the positions of Big Data Engineer. During his time at Dunnhumby, he played a key role in Spark SQL Query Optimizations, ETL pipeline Deployment, and Client Interactions. He was also responsible for automating ETL pipelines using Apache Airflow, developing high-quality production code using Python3, and maintaining optimized Data Warehousing with Hive Partitioning and Bucketing Techniques. Harshit holds a Bachelor's degree in Computer Science from Ajay Kumar Garg Engineering College, Ghaziabad. He is proficient in a wide range of tech stacks, including Data Engineering, SQL, Spark, Big Data, Apache Airflow, ETL, Hadoop, Apache Hive, Kafka, Python, AWS, GCP, Software Engineer, Infra, HDFS, MapReduce, and Web. Harshit is a problem solver who loves to tackle challenging issues and believes in continuous learning. With his relevant experience of 4.86 years, he is a valuable asset to any organization looking to enhance their Big Data capabilities.