Eric S.
Technology & Data Leader | Driving Strategy Across AI, Automation, and Cloud Infrastructure | Building Scalable Teams & Solutions
- Role
- Staff Production Service Engineer at ServiceNow
- Location
- Clayton, NC, US
- LinkedIn followers
- 500 followers
About Eric S.
As an accomplished Data Science Manager with a track record of driving impactful projects, I excel at leveraging data to optimize operations and boost performance. At Shopify, I co-authored a FinOps roadmap and led a data analytics project resulting in enhanced platform efficiency. I designed a dashboard isolating high-risk merchants, optimizing performance. Using SQL and LookerStudio, I debunked assumptions on cloud spend factors. I believe in transparency and collaboration, implementing Kanban workflows for a 100% boost in transparency. My expertise extends to automating data pipelines, creating interactive dashboards, and coaching teams to success. I hold a Master\'s in Information Technology and certifications in Google Data Analytics and Data Science with Python. Let\'s connect and explore how I can drive success in your organization.
Experience
Staff Production Service Engineer
Mar 2026 — Present · Raleigh, NC, US
Education
Gallaudet University
Bachelor's degree, Computer and Information Systems Security/Information Assurance
DataCamp
Certificate of Completion, Data Science with Python
Coursera
Google Data Analytics
2023
Virginia Tech
Masters, Information Technology
Skills
- Linux
- Php
- IT Management
- Cascading Style Sheets (Css)
- Product Analysis and Evaluation
- Bash
- Operating Systems
- Leadership, Training, and Team Building
- Collaboration and Interpersonal Relations
- Cross-Functional Team Leadership
- Open Source
- Python
- Scrum
- Rhce
- Test Management
- High Availability
- Redhat
- Agile Methodologies
- Unix
- Rhel
- Html5
- Testing
- Kernel-Based Virtual Machine (Kvm)
- Apache
- Open Source Software
- Cluster
- Shell Scripting
- Security
- Enterprise Software
- Docker
- Test Automation
- Project Management
- Conflict Resolutions and Decision-Making
- Quality Engineering
- Servers
- Selenium
- Red Hat Linux
- Solaris
- Virtualization
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