Technical range
Grouped around platform, AI, and data work.
The goal is not to list every tool. These are the areas most relevant to senior cloud, AI automation, data platform, and data architect roles.
Cloud / platform: Azure, AWS, GCP, Terraform, Kubernetes, networking, identity, operational readiness
AI / automation: Azure AI Foundry, OpenAI, Gemini, Google ADK, RAG, Power Platform, n8n
Data platforms: Snowflake, Snowflake Cortex, Oracle, BigQuery, Ab Initio, ETL pipelines, data warehouses, analytics, star-schema modeling
Streaming / big data: Kafka, Spark, Hadoop, HBase, Cassandra, real-time analytics
DevOps / SRE / security: Azure DevOps, Jenkins, GitHub Actions, CI/CD, OpenTelemetry, Veracode, Snyk, SonarQube, SBOM
Builder labs: Next.js, Home Assistant add-ons, Node-RED, Solidity, Hardhat, Ethers.js
M.S. Computer Science
- Governor’s State University, IL
- GPA 3.75
Certifications
- Azure AI Engineer Associate (AI-102)
- Azure Fundamentals
- AWS Solutions Architect - Associate
- Google Associate Cloud Engineer
- Certified Kubernetes Administrator (CKA)
- HashiCorp Terraform Associate
- Certificate of Cloud Security Knowledge (CCSK)
Personal labs
Hands-on building stays part of the practice.
Personal-time work includes ApplyBench, MayaGuru, Home Assistant add-ons, n8n workflows, local AI automation, and small Web3 labs.
