I'm a DevOps / DataOps Engineer focused on building reliable automation, cloud infrastructure, and data engineering workflows.
I enjoy working at the intersection of software engineering, cloud platforms, data pipelines, and automation β especially taking manual operational processes and turning them into repeatable, testable workflows.
- π Building DataOps and data ingestion workflows
- βοΈ Developing CI/CD automation with GitHub Actions
- βοΈ Working with Azure cloud services and containerized workloads
- π Building Python-based validation and automation tooling
- ποΈ Exploring DuckDB, DuckLake, PostgreSQL, and modern data architectures
- π Improving DevSecOps and automated security scanning workflows
I'm continuing to explore:
- Cloud-native data engineering
- Workflow orchestration with Dagster
- Modern lakehouse architectures
- AI-assisted software development
- Scalable Python application design
GitHub Actions β’ Azure β’ Python β’ DevOps β’ DataOps β’ CI/CD β’ Automation β’ Data Pipelines
If I have to do something manually more than a couple of times, I'll probably start thinking about how to automate it.



