Prevention for deterministic systems
The gate a change must pass before it ships.
You just changed the model. The tests are green. In three weeks someone else asks how you know the number is still true. Clearline installs the control that answers that meeting, not another dashboard that watches the damage after it lands.
Paid work is paused until employer disclosure is filed. If you can name a real pipeline problem, a Pipeline Risk Snapshot can run unpaid in exchange for a written review.
The enemy is fix-and-go
Fix-and-go is not a rollback plan. It is a decision about who is awake at 1 am.
Each patch is cheap. The cost is paid in the accumulated unexplained, until somebody reconstructs a history that was never written down. Carefulness is a person. A control is a system. Being careful is not a control.
The meeting
A number moved. Someone else noticed. The fix is minutes. The reconstruction is a weekend.
The green merge
A join quietly changed. Tests stayed green. The client-facing metric did not.
The missing review
QA is run it, eyeball it, merge it. The gate lives in one head, or nowhere.
Is this a fit?
Built for the data lead who ships weekly
Right fit
- Data lead at a small company shipping SQL and dbt weekly
- One- or two-person data function in tech, SaaS, ecommerce, or startups
- QA today is run it, eyeball it, merge it
- Review is missing, theatrical, or lives in one person's head
- You can name a real pipeline, a green-but-wrong change, or a meeting you could not defend
Not the right fit
- Boutique agencies looking for an invisible white-label bench
- Enterprise brands with internal data platforms and a systems integrator
- GA4 / GTM / tagging factory work
- A monitor or observability swap that watches production after the fact
- Predictive ML as the engagement, or extra hands with no defined gate
How the work runs
Lead with the meeting. Sell the control second.
Everyone else sells insight. This sells a control. The Snapshot is the front door. The Firewall is the gate. Watch is what keeps the gate after it is installed.
01
Name the meeting
You describe a pipeline, a green-but-wrong change, or a number you could not defend. If it is not a real problem, this is not the work.
02
Pipeline Risk Snapshot
One pipeline. Three business days after intake lands. A 2 to 3 page risk memo, root-cause hypotheses, and a 20-minute readout. Unpaid during employer disclosure, in exchange for a written review.
03
The readout names the control
Finding. Consequence if it reaches production. Why the existing process missed it. The control that would catch it next time. The Data Validation Firewall installs that control. It is named, not sold, until disclosure is filed.
04
Firewall, after disclosure
Map and Rank, Validate and Diagnose, Gate and Handoff. Merge-ready artifacts. You merge. One Snapshot a week. One Firewall at a time.
Now
Pipeline Risk Snapshot
$0 for a written review
Same deliverable as the later paid Snapshot. One pipeline. Three business days. One slot a week. Not a sale. The review is the payment.
After disclosure
Data Validation Firewall
Named, not for sale yet
The gate itself. 3 to 4 weeks. Merge-ready artifacts. Week 1 fail means nothing invoiced. Founding rate and later price land after disclosure, not on this page.
After the gate
Firewall Watch
Only once the gate exists
Quarterly rerun, coverage for what changed, refreshed one-page risk memo, 30-minute readout. Not a retainer for extra hands.
Founder proof
Method from a regulated gate. Not client case studies.
Clearline is built on the founder's Bank of America technical expertise and public technical projects. Clearline is pre-revenue. Every number here is founder proof, never presented as a client result.
200+
change requests through a gate
Passed through a mandatory review gate as a release manager on a credit decisioning platform. Method, not employer throughput.
3
people on a validation tool
Proposed the tool, led the build, and saw it absorbed into release planning.
85%+
accuracy restored
Owned accuracy on production field-extraction models (rules and patterns), diagnosed drift in code and data, restored accuracy above 85%.
5
checks in a Streamlit validator
Internal validator with a PDF readout. Founder tooling, not a Clearline client case study.
Jacobyne Tambe, Technical Delivery Analyst, Bank of America. Technical Delivery Analyst, not Change Coordinator. Bank work is rules and patterns, with drift analysis. Machine learning is personal-project only.
How the control gets built
SQL, Python, dbt, and Streamlit sit at the core.
Predictive modeling is personal-project work. It is not the default engagement and not a bank-earned claim.
Delivery stack
Tools used to install a pre-ship control. Core tools first. Supporting capabilities when the engagement needs them.
SQL
Warehouse queries and production model logic
BigQuery and MySQL for extracts, joins, and model logic that a number in a meeting can still defend.
When the engagement needs more
Before you email
Eight questions to ask before you ship a data change.
The Pre-Ship Data Change Review Kit is the primary free asset: eight questions, evidence to inspect, Green / Yellow / Red criteria, a copy-paste PR template, and a worked example. Question 7 (test evidence) is designed to land hardest. A 12-point checklist is a lower-friction bonus, not the front door.
Ask for the kit by email. It is a lead magnet, not a paid CTA.
Common questions
What data leads ask before they write
Can I hire Clearline right now?
Not for paid work. Employer disclosure has to be filed first. If you want to buy, keep Clearline in mind a few weeks out. If you have a real pipeline problem and want help, a Pipeline Risk Snapshot can run unpaid in exchange for a written review.
What is a Pipeline Risk Snapshot?
Phase 1 on one pipeline. Three business days after intake lands. A 2 to 3 page risk memo, root-cause hypotheses, and a 20-minute readout. Capacity is one Snapshot a week. During disclosure the price is $0 and the review is the payment. Do not treat this as a paid close.
What is the Data Validation Firewall?
The control a change must pass before it ships. Map and Rank, Validate and Diagnose, Gate and Handoff over 3 to 4 weeks. Merge-ready artifacts; the client team merges. It is named on this page so you know what the Snapshot points at. It is not for sale until disclosure is filed.
Is this a monitor or a reporting tool?
No. Observability tells you a number moved after it moved. Clearline installs a pre-ship gate on deterministic systems: rule-based models, dbt pipelines, release processes. Everyone else sells insight. This sells a control.
Do you still do white-label work for agencies?
No. Agency white-label is retired. Not the category, not a channel, not a delivery mode. If you are a boutique agency looking for an invisible bench, this is not the fit.
How should I evaluate the work without agency case studies?
Clearline is pre-revenue. Proof today is founder method from Bank of America technical data work and public technical projects, labeled as founder proof, never as client results. Ask whether the Snapshot names a finding, a production consequence, and a control. That is the evaluation.
Ready?
The gate a change must pass before it ships.
If you can name a pipeline, a green-but-wrong change, or a meeting you could not defend, email that. If you only want to buy, keep Clearline in mind until disclosure is filed.
One Snapshot a week. An unpaid proof Snapshot consumes the same slot as a paid one.