About

Prashant Sharma is a Data Engineer with 2.7 years of experience in Data Science. He is currently working at Accenture as a Data Engineer, where he is responsible for analyzing sales of products, IC calculations, and doing AdHocs as part of his work. Prashant uses data from data lakes for creating workflows in Jupyter, and data wrangling and data quality checks are also part of his work. Prashant has previously worked at Cognizant as an Associate and a Data Analyst. While working with PySpark, he developed various automations that can help in data quality checks in data lakes. Prashant has a Bachelor of Technology degree in Electronics and Communications from Jaypee University. Prashant is skilled in various data engineering technologies such as AWS, Databricks, Azure, Jupyter, Python, SQL, ETL, Snowflake, Apache Airflow, Hadoop, Kafka, and Data Warehouse. He also has experience in product management and has worked as a Senior Software Engineer and Data Scientist. Outside of work, Prashant loves to enjoy a variety of music and tries to find time to go to the mountains. With his relevant experience of 4.78 years, he is a valuable asset to any data engineering team.