Hi, I'm Matías Enrigue

01Work

1. Habita Barcelona

   Real Estate Solo Engineer

   Current Job

   12/2025 - Present

   Sole engineer at a Barcelona real-estate and investment firm. I design, build and run its connected production systems, and make the technical decisions with the founders.

   • INMA, the CRM: 9,400+ portal leads from January to October 2026. Leads get a WhatsApp in 2.1 s (median) and screen themselves on a form, so agents save a great deal of time and only write to the ones worth writing to.
   • INMA Search Service, a new paid business unit: tenants say once what they need, and deterministic matching alerts them when a flat fits. 677 active seekers in November 2026.
   • habitabarcelona.com, rebuilt from WordPress to Next.js: 171 listings and 4,700+ photos migrated, 272 old URLs redirected to keep the search ranking, and every enquiry goes straight into INMA.
   • MathProperty, the investment platform of the firm's property company: ~30 properties, with a Python ETL that moved years of Excel history into it.
   • Safe by design: row-level security and encryption in the database, signed webhooks, audit trails, and real-time alerts on every server error.
   • Built with AI coding agents, given context generated from the live database schema; they reach production data only through prewritten interfaces, and every write needs human approval.

   • In-house CRM & Lead AutomationINMAView details
   • Web Pagehabitabarcelona.comView details
   • Search ServiceINMAView details
   • Investment PlatformMathPropertyView details

2. SDG

   Consulting Data Engineer

   04/2024 - 10/2024

   • Reduced allocated project time by 86%, 7 times less days, creating Python automations for a task that had not been automated in years
   • Restructured unmaintainable database architecture for one of Spain's most renowned universities, refactoring 350+ tables across Oracle, SSIS, and SQL Server to establish maintainable codebase and reduce technical debt
   • Maintained end-to-end ETL pipeline (Oracle → SSIS → SQL Server → Power BI), resolving data integrity issues and ensuring reliable data flow
   • Received advanced formation in Power BI & SQL

   • 🎓University Database MigrationView details

3. Fluidra / GRE

   Python Developer & Data Analyst

   04/2023 - 08/2023

   • Automated report generation using Python, reducing workload by 98% from 4 days/week to 30 minutes/week
   • Developed Python automation tool for inventory lookups (performed by 5 colleagues 50+ times daily each), reducing query time from 3 minutes to 10 seconds and saving 250+ hours monthly across the team
   • Largest swimming pool firm worldwide (Fluidra), operating across 47 countries

4. Freelancing

   01/2024 - 04/2024

   Le Wagon

   • Selected as instructor after top performance in bootcamp (Sept-Dec 2023), demonstrating rapid skill acquisition
   • Supervised 20 students across 5 project teams during final project weeks, providing technical guidance on Python and cloud deployment
   • Delivered Tableau training to 20 employees at global energy management leader (Fortune 500) in Grenoble, enabling advanced visualization capabilities for enterprise reporting

   Diamantex

   • 🏭Manufacturing AutomationView details

02Side projects

• 🚕TaxiMizeMaster's Thesis ProjectAI-Powered Driver AssistantMobile app that helps NYC taxi drivers earn more: machine-learning zone recommendations, a 1-5 star score for every ride and the best times to start a shift. Master's final project at UCD, built as a team.TypeScriptNode.jsSQLRedisDockerCI/CDTDDView detailsJul – Aug 2025Smart zone recommendations based on passenger demand patternsIntelligent ride scoring system (1-5 stars) for profitabilityPersistent state management across app sessions
• 🎥Social Media AutomationPython bot that runs influencer-style YouTube, Instagram and TikTok profiles end to end: it comes up with each video, generates it with my own voice, schedules the post and alerts me on Telegram if anything fails.PythonOpenAIElevenLabsWhisperMoviePyYouTube APITelegramView details
• 👤Face TallyAI app that counts faces in photos and live video and predicts each person's age, gender and mood. Built by a team of 4 in 8 days as the final project of Le Wagon's bootcamp.PythonTensorFlowKerasCVYOLOv8FastAPIDockerGCP Cloud RunComet MLView details

04Business Solutions

Do not spend your time (or your employees' time) on tasks that are automatable.
Focus human creativity and problem-solving skills where they truly matter.