Workflow architecture
Design and tighten Databricks deployment patterns so environments, bundles, and release steps are easier to reason about.
Ryan Weiss
Weiss Data Consulting
I help mid-sized companies automate their Databricks workflows by building production-grade pipelines using DABs and ADO CI/CD.
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Clear delivery, fewer brittle handoffs, and a workflow foundation that supports real production use.
About
A focused consulting practice for teams that need dependable Databricks delivery.
The emphasis is practical: reduce release friction, tighten pipeline quality, and make your workflow easier to operate over time.
Weiss Data Consulting is built around straightforward technical execution. The goal is not to add process for its own sake, but to help internal teams ship production work with fewer manual steps and better operational discipline.
Engagements can range from targeted implementation support to longer-running advisory work, depending on how much hands-on delivery your team needs. Replace this copy with a tighter personal bio when you are ready.
Services
Direct, hands-on support across architecture, implementation, and release workflows.
Each offering is intentionally scoped around practical engineering outcomes rather than broad consulting language.
Pipeline implementation
Build production-grade pipelines with consistent structure, clearer dependencies, and fewer fragile manual steps.
CI/CD enablement
Set up Azure DevOps pipelines, validation gates, and release workflows that fit the way your team already works.
Rates
Simple pricing placeholders that can be replaced once service packaging is finalized.
These ranges are intentionally conservative placeholders so the layout is ready before final pricing copy is locked in.
Advisory
$225/hr
Placeholder rate for targeted reviews, architecture sessions, and implementation guidance.
Project sprint
From $3,500
Placeholder starting point for short fixed-scope work such as pipeline setup or CI/CD hardening.
Retainer
Custom
Placeholder option for recurring support when a team needs ongoing delivery help over multiple weeks.
Contact
If your Databricks workflow needs to be more reliable, this is the right place to start.
Share your current workflow, deployment bottlenecks, or pipeline reliability issues. The first conversation can stay narrow and practical so it is clear whether there is a good fit.