Résumé

Business Systems & AI Automation Engineer. Revenue systems, integrations, workflow reliability, AI agents.

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Summary

Automation engineer who builds and stabilizes the systems revenue and operations teams depend on: CRM workflows, booking and payment integrations, cross-system data reconciliation, monitoring, and AI-assisted automation. Combines hands-on ownership of business-critical workflow automation with a DevOps foundation in CI/CD, APIs, cloud platforms, security, and observability.

Core skills

Automation & integration

Make.com, n8n, REST APIs, webhooks, OAuth, MCP, workflow orchestration

Business & revenue systems

Close CRM, Monday.com, Airtable, Stripe, PayPal, Circle, Calendly, Slack

Data & backend

Python, SQL, SQLite, Supabase/Postgres, FastAPI, Qlik Replicate, Snowflake

AI systems

Claude API, agentic workflows, LLM-in-the-loop routing, prompt engineering, human approval gates

Reliability & delivery

GitHub Actions, Azure DevOps, Jenkins, Terraform, Docker, Kubernetes, Git, RBAC

Cloud & observability

Azure, AWS, Azure Monitor, Grafana, SonarQube, GitHub Advanced Security

Experience

AAA Accelerator

September 2025 — Present

Remote

Automation Systems Engineer

Build and support the booking, onboarding, CRM, payment, and reporting automations used by a B2B coaching organization, applying software-reliability practices to a multi-system operations environment.

  • Build, troubleshoot, and maintain workflows spanning Make.com, Close CRM, Monday.com, Airtable, Stripe and PayPal, Circle, Calendly, Supabase, and Slack.
  • Designed canonical identity and entitlement rules to reconcile member state across CRM, billing, community access, and scheduling systems, with review paths for ambiguous records.
  • Stabilized production workflows by correcting routing, idempotency, webhook, and data-mapping defects; recovered missed work through scoped backfills and pre/post validation.
  • Built monitoring for paused schedules, failed executions, dead-letter growth, and data-quality drift, routing actionable alerts for human review.
  • Developed an automated transcription-to-insights workflow that turns coaching-call data into structured operational records.
  • Use AI-assisted engineering workflows for investigation, test design, and documentation while retaining human approval for live-system changes.

JOANN Stores

November 2021 — March 2025

Remote

DevOps Engineer Associate

Supported CI/CD, artifact management, security controls, data movement, and observability for a large U.S. retailer.

  • Migrated 100+ Jenkins pipelines to GitHub Actions, improving deployment speed by approximately 30%; mentored engineers on secure workflows and supported GitHub Copilot adoption guidelines.
  • Integrated SonarQube and GitHub Advanced Security into CI pipelines; led monthly remediation sessions and reduced remediation time by approximately 40%.
  • Migrated 10,000+ build artifacts from JFrog Artifactory to GitHub Packages and automated cleanup, reducing storage costs by approximately 20%.
  • Automated quarterly PCI-DSS access audits for GitHub repositories, supporting least-privilege controls for developers and contractors.
  • Automated Snowflake key-pair rotation with Azure Key Vault and Azure DevOps and maintained Qlik Replicate pipelines feeding Snowflake.
  • Built Azure Monitor and Grafana KPI dashboards plus Python, Bash, and Groovy automations for delivery and system integration.

Certifications

Education

Texas A&M University-Kingsville

Master of Science, Industrial Engineering

Landmark University

Bachelor of Science, Chemical Engineering