About

Himani Digga is a highly skilled data engineer with over 6.5 years of experience in ETL processing using big data technologies. She has a strong knowledge of Hadoop, Spark, Hive, Hue, Yarn, SQL, Python, Scala, Pyspark, Git, Airflow, Automic, Unix, Kafka, and Presto. Currently, she is working as a Data Engineer at Uber India, where she applies her expertise in data engineering to build and maintain data pipelines, optimize data workflows, and develop data integration solutions. Prior to joining Uber, Himani worked as a Data Engineer at Walmart and OYO, where she was responsible for designing and implementing data integration solutions, building data pipelines, and optimizing data workflows. She has a proven track record of delivering high-quality solutions that meet business requirements and enable data-driven decision-making. Himani holds a Master of Technology (M.Tech.) in Computer Science from Delhi Technological University (formerly DCE) and a Bachelor of Technology (B.Tech.) in Information Technology from Guru Jambheshwar University. She has a strong technical background and is proficient in data engineering, SQL, Spark, Apache Airflow, Hadoop, ETL, Kafka, Python, Big Data, Apache Hive, Scala, MapReduce, AWS, HDFS, MSSQL, Postgres, GCP, UI, Frontend, and Django. As a data engineer with relevant experience of 6.78 years, Himani is passionate about leveraging her expertise to solve complex data engineering problems and drive business value. She is a team player, an excellent communicator, and a quick learner who is always eager to learn new technologies and tools.