About

Arpit Saluja is a highly skilled Data Engineer with over 7 years of experience in the field. He is an expert in various technologies such as Azure, Databricks, Spark, Python, SQL, DataFactory, DevOps, Alteryx, SAP Hana, PowerBi, Big Data, Analytics, Visualisation, and Data Science. Currently working at Shell in the Information, Data & Analytics space in Lubricants & Retail business, Arpit is involved in a strategic pricing project and provides business with pricing & market insights which help them in deal making with customers. He has developed Spark applications for data extraction, transformation, and aggregation from multiple file formats for analyzing & transforming the data to uncover insights into the customer usage pattern. Arpit is also skilled in building dynamic pipelines using Azure Data Factory to pull data from different sources (SAP/Oracle/SFTP) and load it to Azure Data Lake. He is also proficient in building dashboards on PowerBI. Arpit has previously worked as a Software Development Engineer at Shell in the analytics and reporting team in global commercials, lubricants, retail business. He has good hands-on experience in data modeling/transformations/cleansing in SAP HANA, Alteryx, Azure Databricks, Python, Pyspark, and visualizing data on PowerBI. He has also worked on SAP PAPM (Profitability and Performance management) to do cost allocations on Shell Downstream data. Arpit has a Bachelor of Technology (BTech) degree in Computer Science from Manav Rachna University and completed his schooling from Don Bosco School, Alaknanda, New Delhi. He has a relevant experience of 7.69 years in the field of Data Engineering, Azure, Databricks, SQL, Spark, Python, Software Engineering, Big Data, Data Science, and DevOps. Arpit is a highly motivated and dedicated professional with excellent problem-solving skills and a proven track record of delivering high-quality work.