I'm an independent Developer & DevOps engineer from Israel.

I work around Kubernetes, CI/CD, infrastructure automation, data platforms, cloud tooling, AI workflows, and open data systems.

In practice, that usually means helping teams make their infrastructure more reliable, their delivery pipelines faster, their data easier to work with, and their AI/automation ideas actually usable in production.

I like boring infrastructure, useful automation, clear docs, and software that keeps working after the demo.

• DevOps & platform engineering
  Kubernetes, CI/CD, GitHub Actions, Docker, Helm, Terraform, infrastructure-as-code, deployment workflows, observability, and production operations.

• Systems architecture
  Turning messy requirements, legacy systems, or growing platforms into something maintainable, scalable, and understandable.

• AI infrastructure & workflow automation
  Helping teams build practical AI-powered workflows around LLMs, agents, internal tools, automation platforms, data pipelines, and self-hosted infrastructure — with a strong bias toward systems that are understandable, maintainable, and not just a cool prototype.

• Data engineering & public data platforms
  ETL pipelines, APIs, data publishing workflows, CKAN, Airflow-style processing, PostgreSQL, and automation around open-data systems.

• Developer tooling & automation
  CLIs, build tooling, workflow automation, cloud-provider integrations, internal tools, and practical glue code.

• Technical writing & knowledge sharing
  I also write about CI/CD, build performance, Kubernetes-based processing, and developer infrastructure.

I'm leading development of Open Bus Pipelines, a big-data platform for aggregating and processing real-time Israeli public transportation data.

The project includes ETL/data processing, GTFS/SIRI ingestion, Airflow-managed workflows, PostgreSQL, APIs, Docker-based development environments, and production-oriented operational flows.

Related:

• hasadna/open-bus-pipelines

I work on infrastructure and data pipelines for civic/public-data projects at Hasadna, including Knesset data processing and Kubernetes environments.

Selected repos:

• hasadna/knesset-data-pipelines
• OriHoch/knesset-data-k8s
• hasadna/hasadna-k8s
• openbudget/budgetkey-k8s

I manage and improve Kubernetes-based infrastructure for public-data and civic-tech projects, including multi-tenant environments, deployment automation, project-specific clusters, and infrastructure-as-code.

Selected work:

• hasadna/hasadna-k8s
• hasadna/datacity-k8s
• hasadna/ckan-cloud-operator
• hasadna/ckan-cloud-docker
• hasadna/ckan-cloud-helm

I've contributed to the CKAN ecosystem and built extensions/tools around data publishing workflows.

Selected work:

• Contributions to CKAN core
• hasadna/ckanext-datacity
• OriHoch/ckanext-upload_via_email
• OriHoch/data4dappl
• odata.org.il

I've developed infrastructure automation tools and drivers for Kamatera, including Terraform, LibCloud, Salt, Ansible, Docker Machine, custom CLIs, and serverless/platform tooling.

Selected work:

• Kamatera/terraform-provider-kamatera
• Kamatera/kamateratoolbox
• cloudwm/cloudcli
• cloudwebmanage
• kamatera GitHub organization

I write and build around CI/CD, build acceleration, and Kubernetes-based processing.

Articles:

• Integrating Incredibuild with GitHub Actions
• Speed up Your Builds by Parallelizing
• Parallel CI: Comparing CI Systems Parallelization
• Using Kubernetes for CI Build Jobs and Generic Processing Tasks - part 1
• Using Kubernetes for CI Build Jobs and Generic Processing Tasks - part 2

A lot of my client work is private, but it usually falls into one of these buckets:

• Designing and implementing CI/CD and deployment workflows
• Improving Kubernetes environments and developer platforms
• Building infrastructure-as-code and cloud automation
• Debugging production issues and simplifying fragile systems
• Designing backend/data architectures
• Building practical internal tools, CLIs, and automation
• Building AI-assisted workflows around existing systems and data
• Helping teams evaluate where LLMs, agents, and workflow automation are actually useful
• Helping teams move from “it works on one machine” to “we can operate this safely”

The public repositories here are a good sample of how I approach engineering: automate the boring parts, document the sharp edges, and keep systems understandable.

Kubernetes · Docker · Terraform · Helm · Argo · GitHub Actions · CI/CD · Python · Go · Shell · PostgreSQL · Airflow-style pipelines · CKAN · Linux · Cloud infrastructure · Open data · LLM workflows · AI agents · OpenCode · GPU workloads

I'm available as an independent developer / DevOps consultant for teams that need hands-on help with infrastructure, automation, systems architecture, AI workflows, or data platforms.

Good reasons to reach out:

• Your CI/CD is too slow or too fragile
• Your Kubernetes setup works, but nobody wants to touch it
• You need infrastructure automation that developers can actually use
• You have a data platform, ETL system, or open-data workflow that needs to scale
• You want to add AI to an existing product or internal workflow without turning the system into unmaintainable magic
• You have an AI/LLM prototype and need help making it reliable, deployable, observable, and connected to real systems
• You need someone who can move between architecture, implementation, debugging, and documentation

You can find more background on my LinkedIn profile.