In design · Consulting
Governed AI for compliance data
I’m designing a governed multi-agent system for Block’s compliance data engineering team. The design focuses on access, auditability, and reliable operation.
Production AI systemsIndependent data & AI consulting
Data systems your team can run.
I’m Tera Earlywine. I work alongside your engineers to fix unreliable pipelines, get migrations moving, and put AI workflows into production.
Inspect the layers
Subtract posted refunds from completed sales.
Migration programs I’ve worked on spanned
500+ workflowsMy optimization work contributed to
$500K+ in Snowflake savingsIllustrative data example
What goes into
net sales?
Two sales total $600. Post a $40 refund and follow the number from the source records to the reconciliation check.
Reported net sales
Inspect the layers
Business rule
$600 − $40 = $560
Both sales are complete. The posted refund reduces net sales by $40.
Engineering note
Use the refund’s posting date and count each refund ID once. Both sales and the optional refund post in the same reporting period here. Reconcile the result to the ledger for that period.
Selected work
Systems I’ve worked on
Prior work · Platform engineering
Modernizing enterprise data platforms
I’ve contributed to migration programs spanning 500+ workflows. My infrastructure optimization work contributed to $500K+ in Snowflake savings.
Data platform modernizationPrior roles · Block & Mercari
Data products for financial and marketplace teams
At Block, I helped set technical direction as a staff data engineer. At Mercari, I worked across business intelligence, warehouse engineering, and data engineering.
See my experienceServices
Where do you want to start?
Your warehouse bill keeps climbing.
Start with one warehouse and an agreed set of workloads. The paid Data Waste & Efficiency Diagnostic gives you a baseline, ranked improvements, and a way to measure the result.
Explore the diagnosticYour migration is stuck.
Trace one failing workflow from source to report. Your team gets a dependency map, reconciliation checks, and clear criteria for the next cutover or rollback.
Plan a migrationYour AI pilot is up for production review.
Evaluate one workflow for accuracy, access, cost, and escalation. Bring an evaluation report, release criteria, and an operating runbook to the review.
Scope production AIConsulting expertise
Tera's approach
A practical path to production.
Start with a defined decision and agree on scope, responsibilities, and acceptance criteria. Each stage produces the evidence and operating context needed for the next.
- 01Diagnose
Find the failure modes, hidden dependencies, and actual business cost.
- 02Blueprint
Choose the smallest architecture and operating model that resolves the risk.
- 03Prove
Ship a production-shaped slice and measure it against reality.
- 04Scale
Extend the pattern with clear controls, ownership, and adoption.
- 05Operate
Leave behind a system your team can understand, run, and improve.
Support beyond launch.
Ongoing data and AI reliability support can cover incident follow-through, runbooks, control evidence, and a prioritized improvement backlog. Scope and service expectations are agreed for each engagement.
Experience
Independent advice. Hands-on experience.
9+ years across fintech, marketplaces, consulting, analytics, and data-platform engineering.
2026 — Present
Independent Data & AI Consultant
Tera Earlywine Consulting
I advise engineering teams on platform reliability, modernization, compliance operations, and production AI. Current work includes Block’s compliance data engineering organization.
2025 — 2026
Staff Data Engineer
Block.xyz
I built and scaled financial data infrastructure and helped set technical direction across platform work.
2024 — 2025
Senior Data Consultant (Qbiz)
Block.xyz
2023 — 2024
Data Engineer
Mercari
2022 — 2023
Data Warehouse Engineer
Mercari
2021 — 2022
Data Analytics Engineer
This is Alice
2020 — 2021
Business Intelligence Analyst
Mercari
2018 — 2020
Jr. Business Intelligence Analyst
Mercari
I developed my foundation in SQL, data modeling, and analytics.
Straight answers
A few things you may be wondering.
Who is Tera Earlywine?
Tera Earlywine is an independent data and AI consultant with 9+ years of experience building and modernizing enterprise data platforms across fintech, marketplaces, and regulated operations.
What does Tera Earlywine do?
She helps engineering teams stabilize data platforms, rescue migrations, build AI-ready data foundations, and move agentic AI workflows into reliable production services.
Who does Tera work with?
Tera works with startup founders, growing data teams, and enterprise platform and risk leaders across fintech, B2B software, and marketplaces.
When should a company hire Tera?
Bring Tera in when a critical data platform is fragile, a migration is stalled, ownership is unclear, or an AI pilot needs the controls and infrastructure required for production.
How does an engagement start?
It starts with a 20–30 minute fit call. If the problem is a match, the first engagement usually diagnoses the risk, defines the smallest useful path, and produces a concrete next decision.
Speak with Tera
A conversation about what is expensive, fragile, or stuck.
Tell me what your team is trying to fix. A 20–30 minute fit call gives us time to talk through the problem and agree on a useful next step.