Database engineering help, sized to what you need.
I work with engineering and platform teams that want their databases to move as fast as their application code. Pick the engagement that fits, or we'll work it out together on a call.
How we can work together
Advisory
A senior database voice on call for the decisions that are expensive to get wrong.
Good fit for: Teams with strong engineers but no senior database specialist in-house.
- Architecture and data platform design reviews
- Tooling and vendor choices
- Review of migration and change plans before they run
- Regular check-ins plus async questions
Consulting
A defined project with a clear outcome, delivered hands-on and handed over cleanly.
Good fit for: A specific problem with a deadline and no one free to own it.
- Database CI/CD pipeline build-out
- Cloud database migration
- Provisioning and operations automation
Coaching
Practical coaching built around your own systems, not slideware.
Good fit for: Teams that want to own their database practice long-term.
- DBAs moving into DevOps and platform roles
- Developers and SREs who now own databases
- Teams adopting schema migration tools like Liquibase
- Pairing on real pipelines and runbooks
Fractional
A part-time database engineering lead embedded in your team, without a full-time hire.
Good fit for: Growing companies that need senior database ownership but not a full-time role yet.
- Owns the database roadmap and standards
- Does the hands-on work alongside your team
- Mentors engineers and helps with hiring
- Escalation point for database incidents
What I help with
CI/CD for databases
Put schema in version control and ship migrations through the same pipeline as your code, with automated validation, approvals, and rollback.
DevOps DBA practices
Replace runbooks and tickets with automation. Provisioning, patching, backups, and access managed as code.
Infrastructure as code
Cloud databases defined in code, so every environment matches and every change is reviewed and tracked.
Cloud database migration
Move from on-premises to AWS or Azure with a plan: assessment, target design, cutover, and validation.
Automation and reliability
Monitoring, alerting, and self-service tooling that cut late-night pages and single-person knowledge.
Built on what you already run
Oracle, SQL Server, AWS RDS, Azure, Liquibase, Ansible, infrastructure as code, GitHub Actions, and Azure DevOps. If your stack is different, ask. The practices carry over.
How it starts
Intro call
Tell me what's slowing you down. I'll tell you honestly whether I'm the right fit.
Assessment
A focused review of your current setup, with written findings and priorities.
Proposal
Recommended engagement, scope, timeline, and cost. No surprises.
Delivery and handover
Regular check-ins while we work, and everything documented so your team owns it after.
Not sure which engagement fits?
That's what the intro call is for. Bring the problem, and we'll figure out the right shape together.