About

Harsh Dutt is a seasoned Data Engineer with over 6 years of experience in the industry. He is currently working as a Software Engineer(Data) at GSPANN, where he has been instrumental in developing and implementing various data solutions. Harsh's tech stack includes MySQL, Python, Spark, AWS, DataBricks, and Airflow. He is responsible for designing ETL pipelines, building data warehouses, and developing machine learning models. Prior to his current role, Harsh worked as a Software Engineer 1A at Bank of America, where he gained extensive experience in Python, Spark, Teradata, SQL, Hadoop, Hive, Unix, Autosys, and BitBucket. He was a part of the Chief Data Organization and was responsible for designing and implementing data solutions for the organization. Harsh is a graduate in Electronics and Communications engineering from Delhi College of Engineering. He has a strong grasp of the fundamentals of computer science and is always eager to learn new technologies. His tech stack includes Python, Spark, S3, EMR, Airflow, Glue, SQL/DW (MySQL, Hive, and Teradata), and Git. Harsh has also worked as a Senior Tech. Associate at Bank of America, where he was involved in developing data solutions for the organization. He has a broad range of experience in data engineering, data science, and software engineering. Harsh's tech stack includes Software Engineer, SQL, Spark, Python, Data Engineering, AWS, Apache Airflow, Hadoop, MySQL, Apache Hive, Databricks, ETL, HDFS, Random Forest, Django, Snowflake, Ansible, Deep Learning, test, Javascript, Data Scientist, Pandas. He is a highly skilled and motivated individual with a passion for data engineering and data science.