Emily Fueger | LinkedIn | GitHub
Workflow Automation API Integration HMAC Authentication Kubernetes Docker Python SQL Technical Documentation
Looking for specific examples?
- Workflow Automation: Tines workflows with HMAC auth and API integration
- Container Troubleshooting: Kubernetes debugging with systematic diagnostic workflows
- API Integration: n8n automation with parallel execution patterns
- Database Security: Postgres Row-Level Security implementation
Background: 10 years at Code Climate leading Fortune 10/50 escalations, reducing resolution times 30-40%
Certifications: Tines University Core Certification (2025) | Tines University Advanced Certification (2025)
Hands-on workflow automation demonstrating security operations patterns, cryptographic authentication, and API orchestration using Tines' formula-based platform.
Key demonstrations:
- HMAC-SHA256 Authentication - Cryptographic request signing implementation (AWS/Shopify/Stripe patterns)
- GitHub Issue Monitor - Webhook-driven automation with error handling and Slack integration
- Pagination & Formulas - Advanced Liquid template patterns and array processing
Open-source workflow automation with JavaScript-based transformations demonstrating API monitoring, GitHub automation, and parallel execution patterns.
Key demonstrations:
- API Health Monitor - Multi-endpoint monitoring with parallel execution
- GitHub Issue Bot - Automated categorization and routing
- API Monitor with Notifications - Comprehensive monitoring with alerting
Systematic troubleshooting workflows for containerized applications, demonstrating diagnostic patterns for technical support and solutions engineering roles.
What I built:
- Deploy and scale workflows (self-healing demonstration)
- Debug ImagePullBackOff errors (systematic troubleshooting approach)
- Kubernetes API integration (HTTP-based automation patterns)
- Port-forwarding for debugging (temporary access workflows)
Real-world application: Customer reports container failures → Systematic diagnosis workflow → Root cause identification → Resolution with clear documentation
Multi-tenant application security patterns demonstrating how to implement enterprise-grade data isolation at the database level.
I spent 10 years at Code Climate as a Solutions Engineer and Senior Technical Support Engineer, where I:
- Led escalations for Fortune 10/50 enterprise customers
- Built automation and reporting tools using Python, SQL, and modern APIs
- Reduced escalation times by 30-40% using AI-enabled workflows
- Authored 200+ technical guides for APIs, SSO, and security workflows
- Managed Support Ops migrations, automated workflows, mentored team members and peers
I hold AWS Cloud Practitioner (CLF-C02) and Azure AI Fundamentals (AI-900) certifications.
Strong: Python, SQL, REST APIs, CI/CD (GitHub Actions, GitLab, Bitbucket), Workflow Automation (Tines, n8n), Docker/Kubernetes, SSO/SAML, Technical Documentation
Additional Focus: Supabase/Postgres, AWS, Observability (Datadog, OpenTelemetry), React/Next.js, Ruby
This repository contains hands-on technical demonstrations built while transitioning to solutions engineering and technical support roles. Each lab includes:
- Production-quality implementations - Real workflows and integrations, not "Hello World" demos
- Business context - Clear explanations of how technical patterns map to customer problems
- Systematic documentation - Troubleshooting workflows, key learnings, and real-world applications
These materials demonstrate my ability to:
- Learn new technologies quickly and explain them clearly
- Troubleshoot complex technical issues with a customer-first mindset
- Build production-quality demonstrations that reflect enterprise use cases
- Document technical concepts for both technical and non-technical audiences