GCP Automation · Internal Tools · Data Pipelines

DARK
OPS

Built in the dark.  Shipped with precision.

Real figures from a single client's automation stack — one deployment, twelve months of data.

3,979

hrs / year

Manual work eliminated annually at steady state

$198,960

/ year

Labor cost replaced by automation at a loaded $50/hr rate

1.91

FTE

Full-time-equivalent headcount absorbed by 19 workflows

86,396

tasks

Individual automated actions executed in the trailing 12 months

These numbers use aggressive time estimates. A conservative read would reduce them by roughly half — still a strong case for automation.

Infrastructure that
disappears into the work.

Small and mid-sized businesses deserve automation that actually fits — not enterprise tools configured halfway, not another SaaS subscription that creates more work than it saves.

I build custom GCP automations, internal tools, and data pipelines for teams in e-commerce, real estate, healthcare administration, marketing, and hospitality. The work is hands-on and close — no outsourcing, no PM layer.

Lead routing from form → CRM → Slack

Capture, qualify, and route inbound leads automatically. No manual copy-paste. No missed follow-ups.

ETL pipelines for messy spreadsheet data

Transform and load irregular, human-maintained data into clean, queryable structures on GCP — BigQuery, Cloud Storage, or downstream dashboards.

Internal tools that replace 4 SaaS subscriptions

Custom dashboards, admin panels, and workflow UIs built on your existing data — cheaper, faster, and owned by you.

API integrations between tools that don't talk

Connect your booking system, CRM, email platform, and anything else through a durable integration layer built to last.

Focused cloud
engineering.

Hands-on GCP infrastructure consulting built around security, automation, and clean architecture. Every engagement starts with understanding your stack and ends with documentation you can actually use. No bloated teams, no enterprise overhead.

01 1–3 days

Quick Start

Production-ready in days, not weeks

$2,500

  • GCP project setup with security best practices
  • IAM configuration and least-privilege audit
  • CI/CD pipeline for automated deployments
  • Monitoring, alerting, and logging foundations
  • Full documentation and handoff session
03 1–3 months

Cloud Migration

Move fast without breaking things

from $15,000

  • Migration assessment and architecture planning
  • Lift-and-shift or re-architecture from AWS / Azure / on-prem
  • Kubernetes (GKE) or serverless (Cloud Run) design
  • Data pipeline and storage architecture
  • Performance testing and cost optimization
  • 30-day post-migration support included
04 Ongoing retainer

Managed Services

Your GCP team on retainer

Essentials $1,500/mo

10 hrs/mo support, monthly monitoring review, status report

Professional $3,000/mo

20 hrs/mo, proactive optimization, weekly check-ins

Enterprise $5,000/mo

40 hrs/mo, dedicated Slack channel, SLA response times

Ad-hoc

Need a one-off architecture review or troubleshooting session? Hourly consulting is available at $150/hr.

Get in touch

Every project includes documentation, security hardening, and a knowledge transfer session — because infrastructure that only one person understands isn't infrastructure, it's a liability.

Let's scope your project

The person
behind the work.

"I build things that work silently in the background — infrastructure you stop thinking about because it just works."

Dark Ops is a sole proprietorship built at the intersection of systems thinking and craft. I build GCP automations, internal tools, and data pipelines for businesses that are ready to stop doing things manually.

I study Economics at the University of Utah, which is really just a degree in "how do incentives, constraints, and information produce outcomes" — turns out that's surprisingly useful when designing automation for real businesses.

Every project comes back to the same standard: doing things properly, even when no one is watching. Especially when no one is watching.

Background

Cloud Automation

Deep hands-on experience with GCP, Python, SQL, and Google Workspace — building automations and data pipelines for real business problems.

  • Google Cloud Platform
  • Python & SQL
  • Google Workspace
  • Workflow & API Automation
  • Data Pipelines & ETL

Education

Economics, University of Utah

Currently studying quantitative reasoning, systems modeling, and incentive design. Applied daily to every automation architecture decision.

Approach

Hands-on, no PM layer

You work directly with me from scoping through delivery. No account managers, no offshore handoff, no one who hasn't read your codebase.

Let's build
something.

Whether you have a defined project or just a problem that needs solving, I'm easy to reach. I respond within 48 hours.

I'll respond within 48 hours.