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Akshay Karthik

Software Engineer

Contact Akshay

Education Overview

george mason university

Companies Overview

apple

compass

amazon

remine

gannett

Experience Overview

8.6 Years

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Experience

Data Science Engineer

apple | New York, New York, United States

2022 - Present

Staff Software Engineer

compass

2021 - 2022

Software Engineer

amazon

2020 - 2021

Principal Software Architect

remine

2017 - 2020

Software Developer

gannett | McLean, Virginia

2014 - 2017

Skills

Boost your visibility and stand out to employers with referrals from your LinkedIn connections.

Amazon Web Services (AWS)

analytics

Automation

Data Analytics

Data Engineering

Data Science

Data Scientist

Databricks

infra

Infrastructure

Java

Kotlin

Snowflake

Software Engineer

Typescript

Contact Details

Email (Verified)

aksXXXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXXXX

Education

george mason university

Bachelor of Science (B.S.)

2013 - 2016

Frequently asked questions

What company does Akshay Karthik work for?

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Akshay Karthik works for apple

What is Akshay Karthik role in his workplace?

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Akshay Karthik's role in his workplace is Data Science Engineer

What is Akshay Karthik's tenure in his workplace?

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Akshay Karthik's tenure in his workplace is 2.09 years

What is Akshay Karthik's total experience?

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Akshay Karthik's total experience is 8.58 years

What is Akshay Karthik's LinkedIn profile?

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Akshay Karthik's LinkedIn profile can be found here

What is Akshay Karthik's email address?

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Akshay Karthik's email address is aksXXXXXXXXXXXXXXXXXXXom. Unlock here

What is Akshay Karthik's phone/WhatsApp number?

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Akshay Karthik's phone number is +91XXXXXXXXXX. Unlock here

What schools did Akshay Karthik attend?

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Akshay Karthik has attended george mason university

What companies has Akshay Karthik worked with?

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Akshay Karthik has worked with apple, compass, amazon, remine, gannett

What are some of Akshay Karthik's skills?

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Akshay Karthik has skills in Amazon Web Services (AWS), analytics, Automation, Data Analytics, Data Engineering, Data Science and more.

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