Jack Chen
Azure & AI Cloud Consultant at Microsoft
- Role
- Azure & Ai Cloud Consultant at Microsoft
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Jack Chen
Customer-Facing Data-Driven Consultant with 5+ years in the Cloud Computing space. I help enterprise organizations digitally modernize their data platform infrastructure and am responsible for $66 Million in Yearly Azure Cloud Consumed Revenue. Technical Skills & Tools: Product Feature Development, Data Engineering, Data Analysis, Cloud Infrastructure Migration, Python, SQL, Azure DevOps, & PowerBI Here are a few examples of my work: Shipped 3 product features that automated data ingestion from 3 cloud stores into Azure resulting in $1.3M in Revenue and $32K in Cloud Consumption Collaborated cross-functionally across Business and Engineering teams to develop packageable Product Roadmap IP across a portfolio of 152 accounts Conducted discovery workshops to understand customer pain points and defined a Product Backlog with OKRs & 3 Log Ingestion Features Developed Custom Power BI Reporting Dashboards that automated Monthly Business Report data extraction, reducing manual reporting work by 55% I get excited about opportunities where I\'m able to work with customers to understand their requirements and build a product that fits their business goals I love connecting with new people, give me a shout at j••••••••@gmail.com or here on LinkedIn!
Experience
Azure & Ai Cloud Consultant
Jul 2019 — Present · Seattle, WA, US
Shipped 3 product features that automated data ingestion from 3 cloud stores into Azure resulting in $1.3M in Revenue and $32K in Cloud Consumption Collaborated cross-functionally across Business and Engineering teams to develop packageable Product Roadmap IP across a portfolio of 152 accounts Technical Program Manager on a customer engagement where I rallied 6 cross-functional teams to scope, prioritize, and resolve 200+ JIRA flow issues which improved the data center migration workflow from 1 week to 1-2 days Gathered customer requirements and architected out a SQL Server POC design solution that saved the customer $43K in storage costs Conducted discovery workshops to understand customer pain points and defined a Product Backlog of 3 Log Ingestion Features within Azure DevOps
Education
University of Washington, Michael G. Foster School of Business
Bachelor of Arts - BA, Information Systems and Operations/Supply Chain Management, 3.58
2012 — 2017
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