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Lifelong data nerd on a mission to help ๐ โฎ๏ธ
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Distinguished Architect, Cloud Data TechnologiesEbay Jul 2023 - PresentSan Jose, Ca, Us -
Founder & CeoNoteable Aug 2019 - Aug 2021San Francisco, California, Us -
Engineering Manager :: Big Data ToolsNetflix Feb 2018 - Mar 2019Los Gatos, Ca, UsData 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, weโve 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 -
Engineering Manager :: Data Engineering CoreNetflix Jun 2017 - Feb 2018Los Gatos, Ca, Us -
Staff Engineer :: Data Engineering & AnalyticsNetflix Mar 2016 - Jun 2017Los Gatos, Ca, Us -
Engineering Manager :: Data PlatformGodaddy Nov 2014 - Mar 2016Tempe, Az, UsGoDaddy 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 โ Join Forces, Own Outcome, Live Passionately, Be Extraordinary, and Work Fearlessly โ like no one else." -
Principal Engineer :: Data PlatformGodaddy Jul 2013 - Oct 2014Tempe, Az, UsI 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. -
Lead Engineer :: Enterprise Data WarehouseGodaddy Aug 2011 - Jun 2013Tempe, Az, UsI 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 companyโs top strategic projects. We delivered revenue-generating results less than 3 months from initial installation. -
Senior Engineer :: Business IntelligenceGodaddy Jan 2010 - Jul 2011Tempe, Az, UsI 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. -
Database Engineer :: PersonalizationGodaddy Jul 2007 - Dec 2009Tempe, Az, UsI 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. -
Director Of TechnologySataria Distribution & Packaging Jun 2002 - Jul 2007Sataria 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.
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Frequently Asked Questions about Michelle Winters
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Michelle Winters has skills like Database Design, Microsoft Sql Server, Ssis, Data Warehousing, Sql, Databases, T Sql, Database Administration, Business Intelligence, Etl, Performance Tuning, Sql Tuning.
Who are Michelle Winters's colleagues?
Michelle Winters's colleagues are Benjamin Bigelow, Abhiram T, Christine A. Yohn, David Dale, Pierce Banks M.b.a., B.s., Abir Tewari, Sagar Trivedi.
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