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Diego Jose Lafuente

Data Systems Architect

Systems-oriented builder with 12+ years architecting data pipelines, platform implementations, and autonomous workflow systems across insurance technology, benefits administration, and pension domains. Designing and orchestrating enterprise data solutions while building agentic workflow systems. Managed operations for 15 clients, directed teams of 20+ analysts and developers, and delivered $800K+ in change order revenue. Expanding deep data engineering expertise across wider architectural surfaces.

By the Numbers

12+

Years Experience

15

Clients Managed

20+

Team Size

3+

Platform Implementations

10+

Data Conversions

25+

Vendor Integrations

$800K+

Change Order Revenue

1M+

Participants Managed

1500+

Agile Stories

Recent Experience

Integrations Analyst 3

2024-09 — Present

BusinessSolver Current

Data integration role at benefits administration technology company. Promotion path to Data Architect (March 2026).

SQL Python Data Pipelines Benefits Administration Platform

Data Consultant

2024-06 — Present

OctoberThree Current

Pension administration data consulting role. Member of DB admin team working on data model integrity initiative improving data validations and pension system capability.

SQL Pension Systems Data Modeling Monday (PM)

Functional Manager

2023-03 — 2024-01

Sagitec Solutions

Hired as Functional Manager for pension system implementation project.

Pension Systems SQL Business Analysis

What I Build

Products are first-class citizens, not side projects. Each product should show: system architecture, tradeoffs, automation strategies. Products bridge work identity and builder identity.

Cascade

Active

Autonomous workflow orchestration system that coordinates multiple AI agents through structured execution control plans. Manages complex multi-step processes with human governance loops, STOP gates, and evidence-based handoffs between agents.

Demonstrates end-to-end system architecture capability: SQLite-backed state management, tmux split-pane multi-agent coordination, Slack integration for human oversight, and file-based watchers for event-driven agent activation.

Python SQLite tmux Slack API Claude API

Runner's Review

Active

Data-driven running performance analysis application that processes training and race data to provide insights, pacing recommendations, and performance tracking.

Showcases data engineering applied to a personal domain: data ingestion, transformation pipelines, and analytical output generation.

Python Data Analysis

Career-Ops

Active

Autonomous career lifecycle management platform covering resume engineering, document generation, job hunting automation, and career trajectory planning. Uses multi-agent orchestration with SAFe methodology adapted for solo operation.

Full-stack autonomous system: schema-driven document generation pipeline, multi-format output (DOCX, PDF, HTML, TXT), variant-based resume targeting, and agent-coordinated workflow execution.

Python JSON Schema Jinja2 YAML SQLite GitHub Actions
Systems-oriented builder whose anchor discipline is data engineering, deploying the same core skillset across wider architectural surfaces. Expanding from a proven foundation into system architecture, autonomous workflows, and enterprise-scale data design.

Ready to Work Together?

Expanding deep data engineering expertise across wider architectural surfaces.