Min Jo
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Min Jo Email & Phone Number

Software Development Engineer II at Amazon Web Services (AWS) at Amazon Web Services (AWS)
Location: New York, United States 6 work roles 1 school
1 work email found @amazon.com 2 phones found area 510 and 888 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email m****@amazon.com
Direct phone (510) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Software Development Engineer II at Amazon Web Services (AWS)
Location
New York, United States

Who is Min Jo? Overview

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Quick answer

Min Jo is listed as Software Development Engineer II at Amazon Web Services (AWS) at Amazon Web Services (AWS), based in New York, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 510, 888, and a matched LinkedIn profile for Min Jo.

Min Jo previously worked as Software Development Engineer II at Amazon Web Services (Aws) and Software Engineer at Opendoor. Min Jo holds Bachelor Of Arts (B.A.), Computer Science, Statistics, Economics from University Of California, Berkeley.

Company email context

Email format at Amazon Web Services (AWS)

This section adds company-level context without repeating Min Jo's masked contact details.

{first_initial}{last}@amazon.com
86% confidence

AeroLeads found 1 current-domain work email signal for Min Jo. Compare company email patterns before reaching out.

Profile bio

About Min Jo

Min Jo is a Software Development Engineer II at Amazon Web Services (AWS) at Amazon Web Services (AWS). They possess expertise in data analysis, python, machine learning, research, simulations and 5 more skills.

Listed skills include Data Analysis, Python, Machine Learning, Research, and 6 others.

Current workplace

Min Jo's current company

Company context helps verify the profile and gives searchers a useful next step.

Amazon Web Services (AWS)
Amazon Web Services (Aws)
Software Development Engineer II at Amazon Web Services (AWS)
AeroLeads page
6 roles

Min Jo work experience

A career timeline built from the work history available for this profile.

Software Development Engineer Ii

Current

Seattle, Wa, Us

Amazon Bedrock - Generative AIAmazon EMR (ElasticMapReduce) - Serverless Big Data PlatformAWS CloudFormation - IoC

Oct 2020 - Present

Software Engineer

San Francisco, California, Us

Data Infrastructure

Mar 2018 - Feb 2020

Software Engineer

Berkeley, Ca, Us

ML Platform

Jan 2017 - Jan 2018

Software Engineer Intern

Berkeley, Ca, Us

Jun 2016 - Aug 2016
1 education record

Min Jo education

  • University Of California, Berkeley
    University Of California, Berkeley
    Economics
FAQ

Frequently asked questions about Min Jo

Quick answers generated from the profile data available on this page.

What company does Min Jo work for?

Min Jo works for Amazon Web Services (AWS).

What is Min Jo's role at Amazon Web Services (AWS)?

Min Jo is listed as Software Development Engineer II at Amazon Web Services (AWS) at Amazon Web Services (AWS).

What is Min Jo's email address?

AeroLeads has found 1 work email signal at @amazon.com for Min Jo at Amazon Web Services (AWS).

What is Min Jo's phone number?

AeroLeads has found 2 phone signal(s) with area code 510, 888 for Min Jo at Amazon Web Services (AWS).

Where is Min Jo based?

Min Jo is based in New York, United States while working with Amazon Web Services (AWS).

What companies has Min Jo worked for?

Min Jo has worked for Amazon Web Services (Aws), Opendoor, Leadgenius, Berkeley Institute For Data Science, and Department Of Statistics, Uc Berkeley.

How can I contact Min Jo?

You can use AeroLeads to view verified contact signals for Min Jo at Amazon Web Services (AWS), including work email, phone, and LinkedIn data when available.

What schools did Min Jo attend?

Min Jo holds Bachelor Of Arts (B.A.), Computer Science, Statistics, Economics from University Of California, Berkeley.

What skills is Min Jo known for?

Min Jo is listed with skills including Data Analysis, Python, Machine Learning, Research, Simulations, Leadership, Statistical Modeling, and Microsoft Office.

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