MODERNIZE
Enterprise platform modernization
My work has included migration programs spanning 500+ workflows and infrastructure optimization contributing to $500K+ in Snowflake savings—without treating production continuity as someone else's problem.
For enterprise data leaders
Modernize
your data.Put AI into
production.
I work with leaders in regulated and critical operations to assess production risk, design reliable data foundations, and deliver AI workflows with clear controls and ownership.
Choose the next decision to resolve.
01
Where should we invest first?
Value / Risk DiagnosticReadiness scorecard, prioritized use cases, risk register, and 90-day roadmap.
Start by assessing business priorities, existing systems, production risks, and ownership. The output is a decision memo and an actionable roadmap with clear dependencies.
Discuss this engagement
02
What foundation do we need?
Data Foundation BlueprintTarget architecture, ownership model, controls, and migration plan.
Define the data contracts, quality controls, access model, and operating responsibilities required for trusted analytics and AI. Map migration steps, validation, cutover, and rollback.
Discuss this engagement
03
Can this workflow run reliably?
Production AI LighthouseIntegrated workflow, evaluation report, runbook, and operational handoff.
Build one scoped workflow with evaluation for accuracy, latency, and cost. Establish access controls, human escalation, monitoring, and the evidence needed for a production-readiness decision.
Discuss this engagementHow I work
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.
Selected work
Experience with critical data systems.
I fix the data systems your reporting, compliance, and AI depend on.
OPERATE
Governed multi-agent systems
I'm designing a governed multi-agent system for Block's compliance data engineering team, improving the auditability, security, and reliability of production operations.
TRUST
Data products teams can rely on
Across Block, Mercari, and independent consulting, I've built and led data systems where business logic, ownership, quality, and the boring operational details all have to line up.
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
Advise enterprise teams on data-platform reliability, modernization, compliance operations, and production AI systems. Current work includes Block's compliance data engineering organization.
2025 — 2026
Staff Data Engineer
Block.xyz
Built and scaled business-critical 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
Where it all began — learning SQL, data modeling, and analytics foundations.
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 enterprise 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 data, engineering, compliance, risk, and operations leaders—especially in fintech, B2B software, marketplaces, and other high-consequence environments.
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.
Talk to me
Tell me what is expensive, fragile, or stuck.
A 20–30 minute fit call is enough to decide whether I can help. If I cannot, I will tell you that too.