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🐧 25 years maximizing uptime, now minimizing loss functions
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🐧 25 years maximizing uptime, now minimizing loss functions

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dapiced/README.md
Dominic D'Apice - Azure Infrastructure AI

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Website LinkedIn Kaggle Hugging Face GitHub

Location Profile views Focus


🛰️ Mission Control

I design, deploy, and operate Azure platforms that power AI workloads - Databricks environments, data pipelines, and mission-critical systems. 25+ years in the machine room taught me one thing: anything done twice by hand deserves to be automated.

  • ⚙️ Building and operating Databricks platforms - clusters, jobs, models, pipelines - with performance, security, and compliance in mind
  • 🔁 Automating operations end-to-end with IaC, CI/CD, and orchestration: fewer manual steps, more reliability
  • 🤝 Partnering with Data Science, AI, and IT teams to turn business needs into scalable cloud solutions
  • 📊 Applying MLOps and DataOps practices: model lifecycle, data governance, monitoring, observability
  • 🎓 Finishing a University Certificate in Data Science and competing on Kaggle

Because a profile should be reproducible, here is mine - as code:

# ~/playbooks/dominic.yml
- name: Deploy Dominic D'Apice
  hosts: montreal.quebec.canada
  gather_facts: true

  vars:
    role: "Developer - Azure Infrastructure AI"
    experience: "25+ years"
    core_stack: [azure, databricks, ansible, terraform, python]
    fuel: [espresso, curiosity, starlight]

  tasks:
    - name: Automate everything that moves
      ansible.builtin.command: iac --no-manual-steps
      register: reliability

    - name: Train models, ship pipelines, compete on Kaggle
      loop: [mlops, dataops, machine_learning]

    - name: Look up at the night sky
      when: cloud_cover == 0        # the only time fewer clouds is better
      notify: stay_curious

  handlers:
    - name: stay_curious
      ansible.builtin.debug:
        msg: "Per aspera ad astra ✨"

🧰 Onboard Systems

Core stack
Systems and data

🔬 Full equipment manifest
Domain Technologies
Cloud & Data Platforms Azure Databricks VMware
IaC & Automation Ansible Terraform Packer PowerShell Bash
Languages Python R JavaScript Perl
Operating Systems Red Hat SUSE Windows IBM AIX
Systems Management Red Hat Satellite SUSE Manager
Databases PostgreSQL MSSQL MySQL Oracle
CI/CD & DevOps Git GitHub Actions Azure DevOps GitLab Bitbucket TeamCity Jira

Core strengths: Cloud Infrastructure · Infrastructure as Code · Automation & Scripting · DevOps & CI/CD · MLOps / DataOps · Security & Compliance (NERC, CIS) · Azure & Databricks · Team Collaboration


📡 Telemetry

GitHub stats Tech footprint
Contribution streak

Contribution activity graph
Mission patches: 25+ years of service, IaC automation, MLOps/DataOps, Kaggle competitor, Stargazer
Contribution snake

🗺️ Flight Log - 25+ Years of Service

timeline
    title From the server room to the AI cloud
    1998 : IT Technician & System Administrator
    2001 : Linux System Administrator : a decade of servers & Linux appliances
    2011 : Linux System Administrator : physical & virtual deployments
    2015 : IT Standardization SysAdmin : fleet of 1000+ servers, patching at scale
    2018 : Cloud / Linux Admin & IaC Developer : self-service cloud, NERC-regulated environments
    2026 : Developer - Azure Infrastructure AI : Databricks · MLOps · DataOps · CI/CD
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🎓 Education & Certifications
  • Bachelor Certificate, Information Technology Management - UQAM, Université du Québec à Montréal
  • Diploma of College Studies (DSM) - Collège de Bois-de-Boulogne
  • University Certificate in Data Science (almost finished!)

Specialized training: Red Hat RHCE Rapid Track (RH299) · Red Hat Ansible / Tower · Red Hat Satellite · VMware Infrastructure & Aria Suite · IBM AIX Power System · F5 Big-IP LTM & APM · MS SQL · Security & Network Administration · Azure Cloud · Azure DevOps · Azure DevOps → GitHub Actions migrations


🔭 Beyond the Terminal

After 25 years of managing clouds, I still spend my clearest nights looking at the real ones.

🌌 Astronomy Exploring celestial objects and following the latest discoveries - from JWST deep fields to backyard skies
🧠 Artificial Intelligence Studying ML advances and how they translate into real-world impact - then testing myself on Kaggle
⚛️ Physics Fascinated by the fundamental laws that describe our universe - the original distributed system

These passions feed my work: the same curiosity that scans the night sky also debugs the pipeline at 2 a.m.



"Delivering scalable, secure, and efficient infrastructure solutions aligned with business strategy."

#Azure #MLOps #DataOps #DataScience #MachineLearning #Kaggle #IaC #ContinuousLearning

Per aspera ad astra - Thanks for stopping by

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