I replace recurring manual data work — report assembly, fragile scrapes, copy-paste delivery — with scheduled, reproducible pipelines that emit the same answer every time and are documented for the next person to operate.
All deliverables are in English. You get a production-minded system with tests, logging, and a runbook — not a script that only the author can run.
Fixed scope, not open-ended hours. Every engagement starts with a free 15-minute call to confirm fit before any quote.
Most operational data work is invisible until the person who runs it is on holiday, leaves, or makes one quiet mistake. The cost is real but rarely measured.
A report is assembled by hand every week, a scraper breaks silently when a page changes, numbers are copied between systems, and the whole thing depends on one person remembering the steps. It works — until it does not, usually at the worst possible time.
Manual workflows feel cheap because the cost is hidden in people-hours and absorbed errors. A scoped automation costs far less over a year than the recurring time, the silent mistakes, and the key-person risk of leaving it manual.
Before anything is written, the engagement goes through a scope pass — inputs, outputs, owner, failure modes, and handoff target. What gets built is a system the next person can run, diagnose, and extend.
What this is not
This is not open-ended product development, real-time streaming infrastructure, a data-warehouse standup, or ML model development. It is scoped, reliable automation of work you already do.
Designed to be concrete from the first step: lock the scope, build the smallest coherent system, and leave it documented enough to run without me.
A 15-minute call to confirm the problem is a fit and worth automating. No charge, no obligation.
A short paid discovery that locks inputs, outputs, owner, failure modes, and success criteria — agreed in writing. The fee is credited toward the build.
Implementation with visible progress in GitHub, tests, logging, and pragmatic tradeoffs documented instead of surprise scope creep.
README, runbook, setup steps, and the failure points worth watching — so the next person can run, debug, and extend it without me on a call.
The natural entry point is Automation Scoping ($290, credited toward the build). Most teams start with a Scoped Build for one flow, then add a Stabilization Retainer once the system is load-bearing.
| From $290 Automation Scoping | From $1,500 Scoped Automation Build Recommended | From $3,200 Multi-source Data System | From $290/mo Stabilization Retainer | |
|---|---|---|---|---|
| Free 15-min diagnostic call | ✓ | ✓ | ✓ | ✓ |
| Written scope document | ✓ | ✓ | ✓ | — |
| One flow built end-to-end | — | ✓ | ✓ | — |
| Multiple sources orchestrated | — | — | ✓ | — |
| Tests, CI & scheduled runs | — | ✓ | ✓ | ✓ |
| Failure alerts & monitoring | — | ✓ | ✓ | ✓ |
| README + runbook handoff | — | ✓ | ✓ | ✓ |
| Ongoing upkeep & changes | — | — | — | ✓ |
From $290
credited to build
A written scope before any build: inputs, outputs, owner, failure modes, and success criteria.
Fee credited toward any build that follows.
From $1,500
one-time
One pipeline, scraper, or reporting flow built to production standards and handed off cleanly.
Most common starting point.
From $3,200
one-time
Several sources extracted, orchestrated, monitored, and delivered as one coherent system.
From $290/mo
per month
Keep the system healthy: monitoring, small changes, and external technical judgment as things evolve.
Optional. No lock-in.
Prices are starting points for clearly scoped work and are confirmed after the scoping step. International USD pricing reflects fully English deliverables and executive-ready documentation. Looking for local pricing in Spanish? The Spanish version of this service is calibrated for the Chilean and Latin American market.
A marketplace freelancer builds the script you describe. Tooltician builds a system that survives the day you stop thinking about it.
Generic freelancer
Tooltician
Proof, not promises
Tooltician ships published Python packages (bankrecon, rutificador), reliability-minded automation (polla, Noticiencias collector), and production systems with handoff-ready docs. The same standards apply to your build.
Built for recurring operational work that already matters and is currently held together by hand.
A report assembled manually every week or month, where the inputs and owner are known but the assembly is slow and error-prone.
A scrape or acquisition flow the team depends on, that breaks silently and needs to be rebuilt rather than babysat.
Numbers moved by hand between tools, spreadsheets, or dashboards, where a deterministic pipeline removes the manual step entirely.
A workflow only one person knows how to run, where a documented, tested system reduces the risk of that knowledge leaving.
Related projects
Fixed scope, not hourly. After a short scoping step we agree on a fixed price for a clearly defined build. You know the cost before work starts.
A written scope document: inputs, outputs, owner, failure modes, and success criteria, plus a fixed-price quote for the build. If you proceed, the $290 is credited toward the build.
For scoping, usually not. For the build, controlled access to the relevant data sources, repository, or environment is required — scoped to what the work needs and no more.
Primarily Python (Pandas, FastAPI, Selenium, BeautifulSoup) with SQL, Bash, GitHub Actions, and reliability-minded packaging. The stack is chosen to fit your environment and handoff, not the other way around.
You get handoff materials — README, runbook, setup, and failure points — so your team can run and extend it. An optional Stabilization Retainer is available if you want ongoing upkeep, but it is not a lock-in.
This international service is delivered entirely in English with executive-ready documentation, priced in USD for US, UK, and EU clients. The Spanish version is calibrated for the Chilean and Latin American market in UF. The technical scope is equivalent; the delivery context is not.
If a recurring workflow is eating time or quietly creating risk, the right entry point is a short scoping pass that turns it into a fixed-price build.
A written scope of the workflow: inputs, outputs, owner, failure modes, and success criteria, plus a fixed-price build quote. The fee is credited toward the build.
If scoping shows the work is not worth automating yet, the document says so with reasoning — knowing where the real bottleneck is, is also valuable. The fee applies regardless, but there are no surprises or additional charges.
If you arrived here from a specific bottleneck — a manual report, a fragile scrape, copy-paste between systems — the scope is this: lock it down, build it reliably, and hand it off documented. Fixed price, no open-ended hours.