Data Engineer
Current
Aug 2019 - Present
AeroLeads people directory · profile
Phuc Duong Email & Phone Number
Data Engineer
at
Amazon
1 work email found
@amazon.com
4 phones found area 206, 504, and 866
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Who is Phuc Duong? Overview
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Quick answer
Phuc Duong is listed as Data Engineer at Amazon, based in Seattle, Washington, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 206, 504, 866, and a matched LinkedIn profile for Phuc Duong.
Phuc Duong previously worked as Data Engineer at Spear Education and Data Engineer at Data Science Dojo. Phuc Duong holds Bachelor Of Business Administration (Bba), Information Systems from University Of Washington.
Company email context
Email format at Amazon
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{first_initial}{last}@amazon.com
86% confidence
AeroLeads found 1 current-domain work email signal for Phuc Duong. Compare company email patterns before reaching out.
Profile bio
About Phuc Duong
I'm the guy you call when you need data.Your friendly neighborhood Data Solutions Architect, a builder of Analytical Platforms and Solutions.Is your data out of control? Are your systems not talking to each other? Is your data messier than a carnival septic tank? Are you drowning in duplicate data? Is there a mean website not letting you have that delicious data? Are you having issues trusting your data? Well bring me in, lock me in a basement, and let me code. I'll tame your data.I specialize in owning and building data products incrementally. As well as integrating and managing datasets from multiple sources into a consolidated data warehouse.Specialties:Data IntegrationInter-systems Data IntegrationWebscrapingCross Domain Entity MatchingData Warehouse Builder and OwnerEnd-to-end Data Analytics App BuilderData science supportPassions:Solving real problems and using the latest technologies; solutions architecture.Building data warehouses from scratch and end-to-end data solutions.Integrating data from disparate systems together.
Listed skills include Azure Machine Learning, Start Ups, Data Mining, Teaching, and 34 others.
Current workplace
Phuc Duong's current company
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4 roles
Phuc Duong work experience
A career timeline built from the work history available for this profile.
Data Engineer
Feb 2018 - Aug 2019
Data Engineer
- Full-stack web developer (Django, automation specialist, data engineering and pipe-lining, and experience with data science work.)- Builds cloud based data pipelines in Azure with specialties in real-time analytics, IoT, dash-boarding, streaming data, and real-time predictive analytics.- Develops predictive models from datasets and turns them into Django.
Jun 2014 - Aug 2017
Data Architect
Oct 2013 - May 2014
1 education record
Phuc Duong education
-
University Of Washington
FAQ
Frequently asked questions about Phuc Duong
Quick answers generated from the profile data available on this page.
What company does Phuc Duong work for?
Phuc Duong works for Amazon.
What is Phuc Duong's role at Amazon?
Phuc Duong is listed as Data Engineer at Amazon.
What is Phuc Duong's email address?
AeroLeads has found 1 work email signal at @amazon.com for Phuc Duong at Amazon.
What is Phuc Duong's phone number?
AeroLeads has found 4 phone signal(s) with area code 206, 504, 866 for Phuc Duong at Amazon.
Where is Phuc Duong based?
Phuc Duong is based in Seattle, Washington, United States while working with Amazon.
What companies has Phuc Duong worked for?
Phuc Duong has worked for Amazon, Spear Education, Data Science Dojo, and Uw Business Information Technology Society (Bits).
How can I contact Phuc Duong?
You can use AeroLeads to view verified contact signals for Phuc Duong at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Phuc Duong attend?
Phuc Duong holds Bachelor Of Business Administration (Bba), Information Systems from University Of Washington.
What skills is Phuc Duong known for?
Phuc Duong is listed with skills including Azure Machine Learning, Start Ups, Data Mining, Teaching, Data Analysis, Cloud Computing, Data Modeling, and Python.
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