Priyank Mathur

Business Intelligence Engineer at Amazon - Shopbop

Role: Business Intelligence Engineer at Amazon
Location: Seattle, WA, US
LinkedIn followers: 500 followers

Information TechnologyView LinkedIn profile

Experience

Business Intelligence Engineer
Amazon
Jan 2021 — Present

Education

University of Michigan
Master of Science - MS, Business Analytics
2018 — 2020
Marshall school, Dehradun
Indian Certificate of Secondary Education, Science
1998 — 2010
Noida Institute of Engineering & Technology
Bachelor of Technology, Mechanical Engineering
2010 — 2014

Skills

Public Speaking
C++
Mechanical Engineering
Hadoop
Big Data
Apache Pig
Social Media
Social Services
Agile Methodologies
English
Python
Event Planning
Unix
Street Theatre
Shell Scripting
Java
Teamwork
Editing
Theatre
Apache Hive
Map Reduce
Project Management
Hdfs
Relationship Building
Android Development
Sqoop
C
Sql
Research

Contact information

Verified work emails, personal emails, and direct dials — unlocked in one click.

Work email
•••••@amazon.com
Personal email
•••••@•••••.com
Direct dial
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Current company

Amazon

Software Development · 10K employees · 2127 7th Ave., Seattle, WA, 98109, US

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

amazon.com

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Experience

Business Intelligence Engineer

Education

University of Michigan

Marshall school, Dehradun

Noida Institute of Engineering & Technology

Skills

Find verified contacts for anyone on LinkedIn