Michelle Winters
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Michelle Winters Email & Phone Number

📖 data nerd at eBay
Location: San Jose, California, United States 11 work roles
1 work email found @noteable.io 4 phones found area 319, 408, and 866 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email · 4 phones

Work email m****@noteable.io
Direct phone (319) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
📖 data nerd
Location
San Jose, California, United States

Who is Michelle Winters? Overview

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Quick answer

Michelle Winters is listed as 📖 data nerd at eBay, based in San Jose, California, United States. AeroLeads shows a work email signal at noteable.io, phone signal with area code 319, 408, 866, and a matched LinkedIn profile for Michelle Winters.

Michelle Winters previously worked as Distinguished Architect, Cloud Data Technologies at Ebay and Founder & CEO at Noteable.

Company email context

Email format at eBay

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{first}@noteable.io
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AeroLeads found 1 current-domain work email signal for Michelle Winters. Compare company email patterns before reaching out.

Profile bio

About Michelle Winters

Lifelong data nerd on a mission to help 🌍 ☮️

Listed skills include Database Design, Microsoft Sql Server, Ssis, Data Warehousing, and 40 others.

Current workplace

Michelle Winters's current company

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eBay
Ebay
📖 data nerd
Website
AeroLeads page
11 roles

Michelle Winters work experience

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

Distinguished Architect, Cloud Data Technologies

Current

San Jose, Ca, Us

Jul 2023 - Present

Founder & Ceo

San Francisco, California, Us

Aug 2019 - Aug 2021

Engineering Manager :: Big Data Tools

Los Gatos, Ca, Us

Data powers Netflix. It permeates our thoughts, informs our decisions, and challenges our assumptions. It fuels experimentation and innovation at unprecedented scale. It helps us discover fantastic content and deliver personalized experiences for our 130 million members around the world. Making this possible is no small feat; it requires extensive engineering and infrastructure support. Every day more than 1 trillion events are written into a streaming ingestion pipeline, which is processed and stored in a 100PB data warehouse. To support data at this scale, we’ve built an industry-leading, cloud-native data platform which is flexible, powerful, and complex. The Big Data Tools team is working to simplify this complexity. Our charter is to imagine, design, and craft tooling to make it easier for Netflix to do amazing things with data. Some of our current projects include: - notebook infrastructure (including OSS contributions to Jupyter & nteract) - workflow orchestration - data quality & lineage- centralized alerting & remediation- platform intelligence- machine learning infrastructure

Feb 2018 - Mar 2019

Engineering Manager :: Data Engineering Core

Los Gatos, Ca, Us

Jun 2017 - Feb 2018

Staff Engineer :: Data Engineering & Analytics

Los Gatos, Ca, Us

Mar 2016 - Jun 2017

Engineering Manager :: Data Platform

Tempe, Az, Us

GoDaddy has 14m paying customers hosting 63m domains & 8.5m websites on 40k servers across 3 continents. The company has petabytes of data and has been doing data science at web-scale since 2008.I led data engineering, data management, & platform architecture for the company's multi-petabyte, Hadoop-based data lake. Highlights include: - Spearheaded efforts to democratize data access & create a vibrant self-serve Data Platform community; over a 12-month period, organically grew Hadoop users 4x & yielded tangible financial gains- Developed an enterprise data warehousing architecture in Hadoop that enabled the deprecation of a legacy Teradata data warehouse and enabled new insights into customer demographics & behavior; presented at Hadoop Summit 2015 on this design pattern- Developed data pipeline frameworks that enable CI/CD, automate egress & data quality tests, and dramatically reduce development time (6 weeks & 150k lines => 6 hours & 3k lines)- 1 of 10 inaugural recipients (of 4500+ employees) to receive the Going the Distance award: "These folks go the distance every day for their team, customers, and for themselves by constantly growing in their role and making a real difference to GoDaddy. These folks live our values – Join Forces, Own Outcome, Live Passionately, Be Extraordinary, and Work Fearlessly – like no one else."

Nov 2014 - Mar 2016

Principal Engineer :: Data Platform

Tempe, Az, Us

I was the engineering lead in a web-scale environment, which included a 16-terabyte SMP SQL Server, a 100-terabyte MPP Teradata appliance, and a multi-petabyte on-prem Hadoop data lake.

Jul 2013 - Oct 2014

Lead Engineer :: Enterprise Data Warehouse

Tempe, Az, Us

I initiated and implemented the company's first MPP platform, Teradata. My focus was on architecting and developing frameworks & tooling to accelerate deliverables. This project was in support of personalization, one of the company’s top strategic projects. We delivered revenue-generating results less than 3 months from initial installation.

Aug 2011 - Jun 2013

Senior Engineer :: Business Intelligence

Tempe, Az, Us

I was the lead database developer for GoDaddy's first self-service BI infrastructure. I was also the go-to person for data architecture & performance optimization of a 10TB SQL Server data warehouse.

Jan 2010 - Jul 2011

Database Engineer :: Personalization

Tempe, Az, Us

I was the sole database developer supporting our traffic, messaging, and personalization teams. I redesigned the traffic database to support increased website activity during the 2009 Super Bowl. This database reached 27,000+ transactions per second during the airing of our company's Super Bowl ad. At the time, it was the highest TPS for a SQL Server database in the world. And it was accomplished using commodity hardware.I also developed a patented rules-based recommendation engine with online A/B split testing to personalize email messages.

Jul 2007 - Dec 2009

Director Of Technology

Sataria is a logistics company in Indianapolis. At the time I was hired, the company's warehousing operations were completely paper-based. I quickly rose to executive leadership at only 20 years of age and assumed responsibility for all aspects of the business related to technology. My accomplishments include leading a $2 million WMS project for a large multi-national client and significantly improving delivery quality and warehouse accuracy, reducing driver wait times and associated surcharges, driving down operational costs, and helping secure new clients. Along the way, I discovered a passion for data and eventually left to pursue a career in database development.

Jun 2002 - Jul 2007
Team & coworkers

Colleagues at eBay

Other employees you can reach at ebayinc.com. View company contacts →

FAQ

Frequently asked questions about Michelle Winters

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

What company does Michelle Winters work for?

Michelle Winters works for eBay.

What is Michelle Winters's role at eBay?

Michelle Winters is listed as 📖 data nerd at eBay.

What is Michelle Winters's email address?

AeroLeads has found 1 work email signal at @noteable.io for Michelle Winters at eBay.

What is Michelle Winters's phone number?

AeroLeads has found 4 phone signal(s) with area code 319, 408, 866 for Michelle Winters at eBay.

Where is Michelle Winters based?

Michelle Winters is based in San Jose, California, United States while working with eBay.

What companies has Michelle Winters worked for?

Michelle Winters has worked for Ebay, Noteable, Netflix, Godaddy, and Sataria Distribution & Packaging.

Who are Michelle Winters's colleagues at eBay?

Michelle Winters's colleagues at eBay include Tim Woo, Shahzaib Tahir, Jessica Lam, Madhu N, and Ravi Sharma.

How can I contact Michelle Winters?

You can use AeroLeads to view verified contact signals for Michelle Winters at eBay, including work email, phone, and LinkedIn data when available.

What skills is Michelle Winters known for?

Michelle Winters is listed with skills including Database Design, Microsoft Sql Server, Ssis, Data Warehousing, Sql, Databases, T Sql, and Database Administration.

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