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Arpit Agarwal

Elastic Beanstalk SME. AWS PS Deployment CSE-2. AWS Certified Associate Solution Architect

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About

Arpit Agarwal is a self-motivated individual with a passion for gaining knowledge about the insights of an industry. He is continuously learning with the aim of making the world a better place for himself and others. Currently, he works as a Cloud Support Engineer-1 at Amazon, where he leverages his technical expertise to support cloud infrastructure. Arpit has gained a wealth of experience in his 5.03 years of relevant experience in the industry. Prior to his current role, he worked as a Cloud Support Associate at Amazon and a Software Engineer at QA Infotech - Your Software Testing Partner. At QA Infotech, he was responsible for load testing using JMeter and automation using Jenkins, Python scripting, Git uploads, debugging, and client dealing. Arpit's educational background includes a Bachelor of Technology (B.Tech.) in Computer Science from Uttar Pradesh Technical University, where he graduated in 2018. He also completed his high school education in Physical Sciences from Jai Academy in 2014. Arpit's technical expertise includes Python, ML, web development, OpenCV, image processing, Scikit, test automation, Pandas, software engineering, SDET, data science, research science, and Jenkins. He is always eager to learn new technologies and apply them to his work. Overall, Arpit is a dedicated and hardworking professional with a passion for technology and a desire to make a positive impact in the world.

Education

motivational pathway

jai academy

Companies

amazon

qa infotech your software testing partner

aimagnifi technologies

krishna institute of engineering technology

Experience

5.9 Years

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Experience

Cloud Support Engineer 2 - Deployment

amazon | Bengaluru, Karnataka, India

2024 - Present

Cloud Support Engineer 1 - Deployment

amazon | Bengaluru, Karnataka, India

2022 - 2024

Cloud Support Engineer 1 - Networking

amazon | India

2020 - 2022

Cloud Support Associate

amazon | Bangalore

2019 - 2020

Software Engineer

qa infotech your software testing partner | Noida Area, India

2018 - 2019

Software Developer Internship

aimagnifi technologies | Ghaziabad, Uttar Pradesh, India

2018 - 2018

Skills

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Algorithms

Amazon Web Services (AWS)

Application Programming Interfaces (API)

Applied Machine Learning

Cascading Style Sheets (CSS)

Data Science

Data Scientist

Data Visualization

Education

GitHub

html

Image Processing

Machine Learning (ML)

Matplotlib

Networking

NumPy

OpenCV

Pandas

Pandas (Software)

Python

Research

Research Scientist

Scikit

Scikit-Learn

security

Senior Software Engineer

Web

Web Scraping

Contact Details

Email (Verified)

arpXXXXXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX40

Education

motivational pathway

Bachelor of Technology (B.Tech.)

2015 - 2018

jai academy

High School

2012 - 2014

Frequently asked questions

What company does Arpit Agarwal work for?

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Arpit Agarwal works for amazon

What is Arpit Agarwal role in his workplace?

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Arpit Agarwal's role in his workplace is Cloud Support Engineer 2 - Deployment

What is Arpit Agarwal's tenure in his workplace?

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Arpit Agarwal's tenure in his workplace is 0.67 years

What is Arpit Agarwal's total experience?

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Arpit Agarwal's total experience is 5.92 years

What is Arpit Agarwal's LinkedIn profile?

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Arpit Agarwal's LinkedIn profile can be found here

What is Arpit Agarwal's email address?

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Arpit Agarwal's email address is arpXXXXXXXXXXXXXXXXXXXXXom. Unlock here

What is Arpit Agarwal's phone/WhatsApp number?

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Arpit Agarwal's phone number is +91XXXXXXXX40. Unlock here

What schools did Arpit Agarwal attend?

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Arpit Agarwal has attended motivational pathway, jai academy

What companies has Arpit Agarwal worked with?

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Arpit Agarwal has worked with amazon, amazon, amazon, amazon, qa infotech your software testing partner, aimagnifi technologies, krishna institute of engineering technology

What are some of Arpit Agarwal's skills?

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Arpit Agarwal has skills in Algorithms, Amazon Web Services (AWS), Application Programming Interfaces (API), Applied Machine Learning, Cascading Style Sheets (CSS), Data Science and more.

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