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Arpit Saluja

Azure Data Engineer at Shell

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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.

Education Overview

manav rachna college of engineering faridabad

Companies Overview

shell

accenture

tcs

Experience Overview

9.3 Years

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Experience

Data Engineer

shell | Bangalore Urban, Karnataka, India

2020 - Present

Software Engineer

shell | London, England, United Kingdom

2020 - 2020

Software Development Engineer

shell | Bangalore

2018 - 2019

Software Engineer

accenture | Bengaluru Area, India

2015 - 2018

intern

tcs

2015 - 2015

Skills

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Alteryx

analytics

Apache Spark

Azure

Azure Data Factory

Azure Data Lake

Azure Databricks

Big Data

Business Development

Business Strategy

Customer Service

Data Engineering

Data Science

Data Scientist

Databricks

DevOps

Leadership

Management

Marketing

Microsoft Azure

Microsoft Power BI

Project Management

PySpark

pyspark

Python

Python (Programming Language)

Retail

Sales

SAP

SAP HANA

Social Media

Software Engineer

SQL

SQL Server Management Studio

Strategic Planning

Contact Details

Email (Verified)

arpXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX03

Education

manav rachna college of engineering faridabad

Bachelor of Technology (BTech)

2011 - 2015

Frequently asked questions

What company does Arpit Saluja work for?

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Arpit Saluja works for shell

What is Arpit Saluja role in his workplace?

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Arpit Saluja's role in his workplace is Data Engineer

What is Arpit Saluja's tenure in his workplace?

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Arpit Saluja's tenure in his workplace is 4.00 years

What is Arpit Saluja's total experience?

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Arpit Saluja's total experience is 9.33 years

What is Arpit Saluja's LinkedIn profile?

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Arpit Saluja's LinkedIn profile can be found here

What is Arpit Saluja's email address?

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Arpit Saluja's email address is arpXXXXXXXXXXXXXXom. Unlock here

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Arpit Saluja's phone number is +91XXXXXXXX03. Unlock here

What schools did Arpit Saluja attend?

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Arpit Saluja has attended manav rachna college of engineering faridabad

What companies has Arpit Saluja worked with?

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Arpit Saluja has worked with shell, shell, shell, accenture, tcs

What are some of Arpit Saluja's skills?

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Arpit Saluja has skills in Alteryx, analytics, Apache Spark, Azure, Azure Data Factory, Azure Data Lake and more.

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