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.
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.
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.
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.
A forecasting-focused thesis project designed around construction permits, planning uncertainty, inventory timing, workforce decisions, and commercial readiness.
Frames Esteban as someone who can connect time-series analysis with operational planning and business value.
An applied analytics case centered on cycle-time prediction, rework risk, process mining, and KPI-driven operations improvement for a custom manufacturing business.
Adds predictive and operations-oriented depth without overlapping the current ETL and automation portfolio.
A multi-page Power BI project covering commissions, market participation, Pareto logic, decomposition views, and trader-level reporting.
Shows that Esteban can translate data into managerial dashboards, not only backend systems.
I start by finding where data breaks down and which decision the software must make easier for the team.
Deduplication, traceability, fallbacks, and safe writes keep the automation resilient in real environments.
Internal engineering work still deserves interfaces that are clear, elegant, and satisfying to explore.
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.
A curated package of sanitized integration scripts covering Moraware, RFMS, Microsoft Graph, Samsara, and Excel-based ingestion patterns.
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.
Leading technical strategy across automation, AI, business intelligence, and data systems while shaping solutions that improve operational visibility, efficiency, and decision-making.
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.
Worked across hydroelectric, photovoltaic, construction, and water system projects, applying data analysis, forecasting, financial modeling, and feasibility studies to support strategic decisions.
Blending engineering discipline with analytics, machine learning, business intelligence, and applied data strategy to solve real-world operational problems.
If you want to talk about automation, ETL systems, internal tools, or product-minded engineering, you can reach me directly here.