Stephanie Peña
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Stephanie Peña Email & Phone Number

Data Engineer at Amazon at Amazon
Location: Seattle, Washington, United States 6 work roles 3 schools
1 work email found @amazon.com 2 phones found area 510 and 800 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email p****@amazon.com
Direct phone (510) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Data Engineer at Amazon
Location
Seattle, Washington, United States
Company size

Who is Stephanie Peña? Overview

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Quick answer

Stephanie Peña is listed as Data Engineer at Amazon at Amazon, a with 500669 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 510, 800, and a matched LinkedIn profile for Stephanie Peña.

Stephanie Peña previously worked as Data Engineer at Amazon and Business Analyst II at Zulily. Stephanie Peña holds Certificate In Data Science, Data Science from Galvanize - Seattle, Pioneer Square.

Company email context

Email format at Amazon

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*@amazon.com
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AeroLeads found 1 current-domain work email signal for Stephanie Peña. Compare company email patterns before reaching out.

Profile bio

About Stephanie Peña

Data Engineer with experience in retail, supply chain, data science, and product management.

Listed skills include Python, Sql, Git, Data Analysis, and 38 others.

Current workplace

Stephanie Peña's current company

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Amazon
Amazon
Data Engineer at Amazon
seattle, washington, united states
Website
Employees
500669
AeroLeads page
6 roles

Stephanie Peña work experience

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

Data Engineer

Current

Greater Seattle Area

May 2020 - Present

Business Analyst Ii

Greater Seattle Area

Jul 2018 - May 2020

General Partner

Greater Seattle Area

Paramation is a technical services provider, business consultancy, software product incubator, and holding company, serving a diverse selection of clients. It uses a proprietary, services-oriented technology platform to produce complete applications and improve complex processes at a relatively lower cost per engagement. As a General Partner, my client-facing roles generally cover data science objectives, where I specialize in machine learning, algorithm design, schema design, and business intelligence automation for North American clients. My internal roles are primarily focused on applying data science to operational and product improvement, as well as to the management of Paramation's digital asset portfolio.

Jun 2017 - Jul 2018

Senior Associate, Technical Product Management

Greater New York City Area

Managed the backend reporting for the Apparel category. Created reports with the Retail organization for promotions, product selection, and trends, which led to better buying decisions and generating an increase of sales by 9%. Implemented new data checks during product setup, which decreased human error and execution time by 50%. Created selection report that identified high-priority brands for one-time season buys.Owned, designed, and automated weekly business reporting for the team to efficiently review timely trends, understand metrics, and gain business insights. Created and maintained weekly vendor reports, and worked alongside engineers to automated reporting process. Maintained data integrity for the company’s catalog by creating reports to find errors and gaps in data, which decreased errors by 85% and execution time by 75%.

Apr 2015 - Jan 2017

Data And Catalog Associate

Greater New York City Area

Streamlined the product setup process through automation and macros which increased productivity by 50%. Created on-site style guide for the Shoes category to improve customer experience which increased sales by 5%. Created the weekly wales report to display inventory position versus sales for trailing 5 weeks, giving the Inventory and Vendor Management teams better insight on in-stock / sell-out positions.. Automated the product listing process, increasing new offerings from 15K to 40K. Streamlined the error resolution process by centralization and bulk operations which reduced errors by 75%.

Nov 2013 - Mar 2015

Intern

Greater New York City Area

I supervised administration duties including paying invoices, studio bookings, and overall scheduling.

Jun 2012 - Aug 2012
Team & coworkers

Colleagues at Amazon

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3 education records

Stephanie Peña education

Certificate In Data Science, Data Science

Galvanize - Seattle, Pioneer Square
FAQ

Frequently asked questions about Stephanie Peña

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

What company does Stephanie Peña work for?

Stephanie Peña works for Amazon.

What is Stephanie Peña's role at Amazon?

Stephanie Peña is listed as Data Engineer at Amazon at Amazon.

What is Stephanie Peña's email address?

AeroLeads has found 1 work email signal at @amazon.com for Stephanie Peña at Amazon.

What is Stephanie Peña's phone number?

AeroLeads has found 2 phone signal(s) with area code 510, 800 for Stephanie Peña at Amazon.

Where is Stephanie Peña based?

Stephanie Peña is based in Seattle, Washington, United States while working with Amazon.

What companies has Stephanie Peña worked for?

Stephanie Peña has worked for Amazon, Zulily, Paramation, Quidsi Inc. (An Amazon Subsidiary), and Bloom Entertainment Inc.

Who are Stephanie Peña's colleagues at Amazon?

Stephanie Peña's colleagues at Amazon include Sonakshi Sengupta, Thomas Render, Annapurna Jonnavithula, Nicole Gomes, and Sridhar G.

How can I contact Stephanie Peña?

You can use AeroLeads to view verified contact signals for Stephanie Peña at Amazon, including work email, phone, and LinkedIn data when available.

What schools did Stephanie Peña attend?

Stephanie Peña holds Certificate In Data Science, Data Science from Galvanize - Seattle, Pioneer Square.

What skills is Stephanie Peña known for?

Stephanie Peña is listed with skills including Python, Sql, Git, Data Analysis, Scikit Learn, Postgresql, Numpy, and Scipy.

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