Esteban Garzon
CTO - Data, Automation, and AI Systems

I design software that turns complex operations into elegant systems.

I am a CTO with a background in data engineering, automation, business intelligence, and applied analytics. I build ETL pipelines, AI-enabled workflows, and internal platforms that turn operational complexity into clear, high-leverage systems.

System Signal
Modern Ops
FocusAutomation + Data Systems
SpecialtyETL, integrations, reliability
ApproachOperational software with premium UX
PythonNext.jsPostgreSQLSQL ServerAutomationETLData ReliabilityAPI IntegrationsSystems DesignInteractive UI
Selected Work

Real-world systems, presented with a product-grade visual layer.

Data Pipeline01

Slab ETL Nexus

Production ETL that blends SQL Server, shop-floor Excel logs, and PostgreSQL into a trustworthy reporting layer for operations.

Defensive deduplication, slab-level enrichment, atomic exports, and freshness checks that reduce operational friction and data drift.

PythonPostgreSQLSQL ServerETLOperations
Sync Infrastructure02

Moraware Sync Engine

A multiprocessing sync engine that collects fabrication, CAD, and install activity and restructures it into analytics-ready records.

Parallel processing, resilient logging, notes normalization, and vendor resolution to surface cleaner business signals from noisy source systems.

PythonPostgreSQLAPI SyncConcurrencyMonitoring
Workflow Automation03

Ops Board Bridge

A data bridge that transforms operational status into structured task cards and visible execution layers for the team.

Less manual coordination, clearer priorities, and a software layer that connects field activity with visual workflow management.

PythonSQLiteAutomationDashboardsSystems Design
Build Philosophy

I care about systems that work under pressure and still feel refined.

01

Signal first

I start by finding where data breaks down and which decision the software must make easier for the team.

02

Reliability by design

Deduplication, traceability, fallbacks, and safe writes keep the automation resilient in real environments.

03

Presentation matters

Internal engineering work still deserves interfaces that are clear, elegant, and satisfying to explore.

Capabilities

Strong backend foundations, expressive visuals, and operational focus.

Robust ETL pipelines
API and ERP integrations
Multi-source data synchronization
SQL analytics and data modeling
Operational automation
Business intelligence dashboards
Machine learning and predictive analytics
Interactive frontends for complex systems
Resources & Contributions

Useful public downloads, packaged cleanly and safe to share.

Free Utility

Outlook Attachment Extractor

A Windows-based OST attachment extraction utility with GUI and CLI workflows, designed to browse Outlook data files, filter messages, and export attachments in a structured way.

Sanitized public package with source code only.
No client data, extracted mail content, temporary mailboxes, or build artifacts included.
Useful as a practical download for teams that need OST attachment extraction workflows.
Public Source Bundle

Live Data Integration Lab

A curated package of sanitized integration scripts covering Moraware, RFMS, Microsoft Graph, Samsara, and Excel-based ingestion patterns.

Built from real operational automations, rewritten to remove secrets, internal IDs, private paths, and raw business data.
Useful for demonstrating ETL, API authentication, batch backfills, desktop automation, and schema-shaping patterns.
Safe to share as a public engineering sample without exposing the original `livedataproj` workspace.
Resume Snapshot

A concise professional summary, not just a project gallery.

Professional Summary

CTO - Data, Automation, and AI Systems

CTO, data engineer, and automation specialist with a multidisciplinary background spanning civil engineering, data science, business intelligence, and operational systems. Experienced in building ETL pipelines, analytics layers, AI-driven automations, dashboards, and backend workflows that improve decision-making, reduce manual work, and create reliable infrastructure for growing teams.

Currently operating at CTO level, leading technical direction across data, automation, and AI-driven systems.
Built production ETL pipelines connecting SQL Server, Excel-based shop data, PostgreSQL, APIs, and operational platforms.
Designed synchronization workflows for manufacturing, CAD, installation, finance, and vendor intelligence.
Experienced with Power BI, Python, SQL, machine learning, and automation-first system design.
Able to bridge technical execution, strategic thinking, and multidisciplinary business contexts.
Latest Position

Chief Technology Officer (CTO)

Leading technical strategy across automation, AI, business intelligence, and data systems while shaping solutions that improve operational visibility, efficiency, and decision-making.

2024 - Present

Data Engineer | AI-Driven Automation & Business Intelligence Specialist

Designed and implemented ETL pipelines, API integrations, reporting systems, and AI-enabled automations for a U.S.-based client, connecting platforms such as Moraware, RFMS, Slabsmith, Samsara, and production machine logs.

2022 - 2023

Data Scientist, Data Analyst, and Financial Modeling Roles

Worked across hydroelectric, photovoltaic, construction, and water system projects, applying data analysis, forecasting, financial modeling, and feasibility studies to support strategic decisions.

Education

Civil Engineer + Master's in Data Science and Business Intelligence

Blending engineering discipline with analytics, machine learning, business intelligence, and applied data strategy to solve real-world operational problems.

Contact

Let's build better operational software.

If you want to talk about automation, ETL systems, internal tools, or product-minded engineering, you can reach me directly here.