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Data Ops Assistant
I am starting a new professional stage at Ixatu.com, focused on data administration, digital operations, process improvement, and the practical use of data to support business decisions. After more than 18 years as a Full-Stack Developer, I am now orienting my career toward data, analytics, ETL, automation, and AI-assisted workflows. My background in software development gives me a strong technical foundation, while my current focus is on helping organizations improve how they capture, validate, organize, monitor, and use their operational data. Previously, I worked at Centraldereservas.com, where I contributed to the design, development, and maintenance of internal and customer-facing systems using PHP, JavaScript, and MySQL. This experience gave me a deep understanding of business processes, databases, internal tools, and production software environments. In parallel, I continue developing Store ETL, a personal data engineering project based on PostgreSQL, Python, Docker, Dagster, Liquibase, FastAPI, Grafana, and modern ETL principles. Through this project, I work on traceable pipelines, data quality, schema versioning, observability, and scalable data workflows inspired by Medallion and MDM architectures. My professional goal is to grow as a data-focused profile, combining administrative accuracy, technical depth, analytics, automation, and practical business understanding. Core Skills: * Data Administration & Digital Operations * ETL, SQL, PostgreSQL, Python, Docker, Dagster, Liquibase * Data Quality, Observability, Documentation, Process Improvement * Machine Learning, NLP, EDA, A/B Testing * Full-Stack Development: PHP, JavaScript, TypeScript, React, Node.js, MySQL * Knowledge Management, Obsidian, AI-assisted workflows
Ironhack
Data Analytics Bootcamp | Machine Learning, NLP & Experimentation, Data Processing and Data Processing Technology/Technician
April 1, 2025 – Present
Universidad Pública de Navarra
Diplomatura, Hortofruticultura y actividades hortícolas, general
January 1, 1995 – January 1, 1999
Colegio San Ignacio, Jesuítas, Pamplona
Bachillerato, Ciencias de la ingeniería
January 1, 1981 – January 1, 1992
IXATU - Estrategias Energéticas
Data Ops Assistant
May 1, 2026 – Present
Pamplona · On-site
Remember Me/Memory System
Application Developer
September 1, 2021 – October 1, 2021
Fischenthal, Suiza · Remote
Libricos.com
Ecommerce Developer
April 1, 2020 – July 1, 2021
Pamplona
Freelance
Obsigen - Calendar Plugin for Obsidian
April 1, 2020 – July 1, 2021
Pamplona · Remote
ETHERNALIA REGCOM S.L.
Front/Back-end Developer
February 1, 2008 – February 1, 2010
Zamudio, Bizkaia, España · Remote
Centraldereservas.com
Information Technology Application Developer
April 1, 2006 – August 1, 2024
Aínsa, Huesca, España · Remote
Hotelandia
Front/Back-end Developer
August 1, 2003 – August 1, 2010
Orkoien, Navarra, España · Remote
Cima Nuevas Tecnologías Informáticas S.L.
IT Intern
February 1, 2003 – October 1, 2003
Villava/Atarrabia · On-site
🤖 AI-Powered Dotfiles | Developer Environment as Code
January 1, 2026 – Present
•⚙️ Action: Designed and developed an AI-augmented developer workstation across Cursor, Codex, and Claude. •🧩 Context: Dotfiles repository combining MCP-based AI assistants, reusable agent skills, and declarative workstation setup with Chezmoi, SOPS, and Age. •📈 Result: Built a more traceable, maintainable, and scalable developer environment for production-oriented workflows across infrastructure, observability, and automation.
🖥️ DeepVision | High-Accuracy Image Classifier using Custom CNN Architectures
April 1, 2025 – April 1, 2025
•⚙️ Action: Designed and developed a CNN-based image classification project to recognize handwritten digits and validate model generalization on unseen visual inputs. •🧩 Context: Built with Python, TensorFlow, and Keras using the MNIST dataset, custom CNN architectures, preprocessing workflows, and evaluation tools such as confusion matrices and misclassification analysis. •📈 Result: Achieved strong classification accuracy while building a clear, reproducible deep learning pipeline for computer vision experimentation, model evaluation, and performance interpretation.
📚 BiblioNLP | Automated Book Classification & Semantic Search via NLP
April 1, 2025 – April 1, 2025
•⚙️ Action: Designed and developed an AI-powered book discovery platform combining automatic tagging, sentiment analysis, clustering, and semantic recommendation workflows. •🧩 Context: Built with Python, NLP, and machine learning using SentenceTransformers, Logistic Regression, RoBERTa, TensorFlow, Keras, Streamlit, and semantic search components to analyze book titles, descriptions, and metadata. •📈 Result: Created a more intelligent and scalable way to classify, explore, and recommend books, while demonstrating hands-on experience in applied NLP, multilabel classification, and semantic data products.
🚀 Automated Books Pipeline | Medallion MDM ETL
April 1, 2025 – Present
•⚙️ Action: Designed and developed a modern books data platform to ingest, enrich, and serve multi-source book data through incremental pipelines and lakehouse-based architecture. •🧩 Context: Built with Python and Dagster using a medallion model (RAW → SRC → MDM → GOLD), Apache Iceberg, PostgreSQL, Trino, FastAPI, and observability tooling including OpenTelemetry, Prometheus, and Grafana. •📈 Result: Created a more traceable, maintainable, and scalable data platform with reliable identity resolution, reproducible transformations, and production-style data engineering practices.
🌦️ SkyCast | Predictive Weather Modeling using Random Forest Ensemble Methods
March 1, 2025 – March 1, 2025
•⚙️ Action: Built machine learning models to classify daily weather conditions and predict precipitation levels using supervised learning techniques. •🧩 Context: Trained and evaluated Random Forest, KNN, and Gradient Boosting models on a Kaggle weather dataset, covering both classification (sunny, rainy, cloudy) and regression tasks. •📈 Result: Identified Random Forest as the strongest approach for both weather-type classification and rainfall prediction, delivering reliable performance across the two forecasting objectives.
📊 RetailFlow | Automated ML Pipeline for Sales Prediction using XGBoost
March 1, 2025 – March 1, 2025
•⚙️ Action: Designed and developed an end-to-end machine learning pipeline to predict retail store sales from real-world data, covering preprocessing, model training, evaluation, and automated reporting. •🧩 Context: Built with Python, Scikit-learn, XGBoost, Matplotlib, Jinja2, and WeasyPrint, with deliverables including predictions, visualizations, HTML reports, and printable PDF outputs. •📈 Result: Created a portable and deployment-ready forecasting workflow with clear performance reporting, stronger interpretability through feature importance, and business-friendly analytical outputs.
📊 VanguarData | A/B Testing & UI Optimization for Digital Experience
March 1, 2025 – March 1, 2025
•⚙️ Action: Analyzed an A/B test to assess the impact of a redesigned user interface on customer experience and process completion outcomes. •🧩 Context: Worked as a Data Analyst using data cleaning, EDA, hypothesis testing, KPI design, Tableau dashboards, and Kanban-based project tracking to evaluate customer profiles and digital interaction data. •📈 Result: Delivered data-driven recommendations to Vanguard’s executive team by clarifying the redesign’s effect on completion rate, cost-effectiveness, and time to complete.
🎬 OscarInsight | 96 Years of Academy Awards: A Data-Driven Success Blueprint
February 1, 2025 – February 1, 2025
•⚙️ Action: Conducted a collaborative data analysis project to explore the factors associated with winning an Oscar, using historical film and award data from 1928 to 2024. •🧩 Context: Combined web scraping, CSV processing, Excel analysis, and data storytelling to examine patterns across nationality, race, age, directors, budgets, and box office performance. •📈 Result: Generated clear, evidence-based insights into Oscar trends and built a structured analytical narrative linking film industry data to award outcomes.
🦈 SharkRisk | Predictive Patterns & Risk Assessment in Global Maritime Incidents
February 1, 2025 – February 1, 2025
•⚙️ Action: Conducted an exploratory data analysis project on global shark attack records to identify trends, geographic patterns, and incident drivers. •🧩 Context: Used Python with Pandas, Seaborn, and Matplotlib for data cleaning, temporal analysis, visualization, and insight-driven storytelling across location and behavior-related variables. •📈 Result: Produced a clearer, evidence-based view of when, where, and under which conditions shark attacks occur, turning raw incident data into actionable analytical insights.
📖 ReaderMetrics | Decrypting Literary Success: A Data-Driven Study of Goodreads Authors
February 1, 2025 – February 1, 2025
•⚙️ Action: Analyzed Goodreads author and book data to identify the characteristics associated with standout author visibility, engagement, and reader reception. •🧩 Context: Built a SQL and Python data project using data extraction, cleaning, and visualization with Matplotlib and Seaborn to explore ratings, reviews, fan counts, genres, birth-decade trends, and geolocation patterns. •📈 Result: Produced clear, data-driven insights into author popularity and literary trends, strengthening the ability to turn structured datasets into actionable storytelling for analytics and insights work.
🕹️ EscapeEngine | OOP-Driven Real-Time Adventure via Concurrent Python
February 1, 2025 – February 1, 2025
•⚙️ Action: Designed and developed a console-based escape room game with object-oriented architecture, timed gameplay, and interactive puzzle progression. •🧩 Context: Built in Python with modular components for room exploration, key collection, door unlocking, concurrent countdown logic, and console-based visual interaction. •📈 Result: Created a more engaging and maintainable CLI game experience by combining gameplay logic, time-based pressure, and clean software structure in a single interactive project.
📱 LivingScripture | Cross-Platform App Development via .NET MAUI & MVVM
October 1, 2024 – December 1, 2024
•⚙️ Action: Designed and developed a cross-platform personal note management application to capture, organize, and explore journal entries across mobile and desktop environments. •🧩 Context: Built with .NET MAUI and .NET Core 8 using MVVM, SQLite, and Markdown support, with features including calendar-based navigation, timeline and map views, media management, and extensible cloud sync and authentication plans. •📈 Result: Created a more structured, portable, and user-friendly note-taking experience with a scalable architecture designed for multi-device usage, richer contextual journaling, and future collaboration.
🔌 ObsiGen | Multi-Source Content Capture & Automated Personal Knowledge Management
June 1, 2023 – September 1, 2024
•⚙️ Action: Designed and developed an Obsidian plugin to generate structured note types such as daily notes, anniversaries, memorable moments, and captured content from platforms like Twitter and YouTube. •🧩 Context: Built as an extension for the Obsidian ecosystem with a focus on customizable note workflows, personal knowledge management, and planned calendar-based event navigation for richer note exploration. •📈 Result: Expanded the flexibility and usability of the note-taking experience by making content capture and event-based documentation more organized, personalized, and scalable.
🗃️ Kindtocs | Kindle Highlights & Notes Plugin for Obsidian
November 1, 2021 – July 1, 2024
•⚙️ Action: Designed and developed an Obsidian plugin to import Kindle highlights and notes and automatically generate structured Markdown outputs for each book. •🧩 Context: Built as a knowledge management extension that creates book summary files, annotation files, and table-of-contents indexes, with optional integration of highlights and notes into the book structure. •📈 Result: Simplified the organization, retrieval, and reuse of Kindle reading insights within Obsidian, creating a more structured and scalable personal knowledge workflow.
🗃️ Goodsidian | Goodreads-to-Obsidian Book Import & Knowledge Management App
May 1, 2021 – March 1, 2024
•⚙️ Action: Designed and developed a desktop application to import books, reviews, and author data from Goodreads into Obsidian as structured Markdown notes. •🧩 Context: Built as a personal knowledge management tool that automates the transformation of Goodreads content into reusable notes within an Obsidian vault, preserving rich metadata for books, reviews, and authors. •📈 Result: Streamlined the integration of reading history and literary references into Obsidian, creating a more organized, searchable, and scalable workflow for book-centric knowledge management.
📑 NGES | Internal Operations & Reservations Management Platform
March 1, 2018 – August 1, 2024
•⚙️ Action: Led the coordination, analysis, and design of NGES, an internal management system to centralize accounting, reservations, and core administrative operations. •🧩 Context: Built for Centraldereservas.com as a unified back-office platform covering invoices, files, payments, expenses, cancellation policies, task management, mailing templates, and internal communications. •📈 Result: Improved operational efficiency and service consistency by consolidating critical business processes into a single administrative environment that supported smoother workflows and stronger reservation management.
🌍 Geolocation & Hotel Discovery Map Component for Booking Platforms
September 1, 2011 – July 1, 2015
•⚙️ Action: Designed and developed an interactive map library to provide hotel geopositioning across the Centraldereservas.com portal and reservation system. •🧩 Context: Built using object-oriented JavaScript, GMaps API, JSONP-based web services, ExtJs Core, and SASS to support location visualization and front-end integration within booking workflows. •📈 Result: Improved the user booking experience by delivering clearer geographic context, more accurate hotel location information, and stronger decision support during accommodation search and reservation.
🧳 Travel Guides | PDF Guide Delivery Platform
July 1, 2011 – June 1, 2015
•⚙️ Action: Led the analysis and design of a Travel Guide Management System to create, manage, and deliver personalized travel guides for clients. •🧩 Context: Defined the system architecture, integrated the Guiomatic REST API for guide generation, implemented database structures and queries, and supported quality-of-service testing for performance and reliability. •📈 Result: Improved the efficiency and consistency of travel guide production by creating a structured platform for generating and maintaining client-ready travel content at scale.
🪙 Offers Creation & Product Mapping Management Platform
October 1, 2010 – March 1, 2020
•⚙️ Action: Led the coordination, analysis, and design of an offers management platform to create proprietary hotel deals and map third-party offers to internal products. •🧩 Context: Structured the solution into two subsystems for discounted offer and package creation, and external-to-proprietary offer mapping, while contributing to system architecture, UI design, data access, and QoS testing. •📈 Result: Improved the company’s ability to manage, present, and integrate a broader range of travel offers, creating a more efficient internal workflow and expanding commercial opportunities.
🌐 Centraldereservas.com Blog
January 1, 2009 – July 1, 2015
•⚙️ Action: Designed and developed a public blog platform for Centraldereservas.com, including custom WordPress plugins tailored to business and content needs. •🧩 Context: Built on WordPress with ongoing platform customization, content publishing support, and performance optimization to showcase company news, travel content, and commercial offers. •📈 Result: Strengthened the company’s online presence and customer engagement by creating a more dynamic, scalable, and business-aligned content platform.
🪙 Affiliate Operations | Partners Booking Management Platform
August 1, 2008 – July 1, 2015
•⚙️ Action: Led the coordination, analysis, and design of an affiliate management platform to administer partner relationships and publish affiliate offers through a customer-facing booking environment. •🧩 Context: Structured the solution into two subsystems: an internal administrative area for affiliate CRUD operations, performance tracking, and communication management, and a public zone for offer display and reservation access. •📈 Result: Streamlined affiliate operations and improved the visibility and accessibility of partner offers, creating a more efficient management workflow and a smoother booking experience for end users.
🔐 Ethernalia.com | Digital Security & Data Protection Web Platform
February 1, 2008 – February 1, 2010
•⚙️ Action: Designed and developed the front-end web portal for a digital security and data protection company, focused on delivering a robust and user-friendly online presence. •🧩 Context: Built with Zend Framework using MVC architecture, SMARTY templates, jQuery, and GMaps API to support modular development, interactive features, and location-based services. •📈 Result: Delivered a more scalable and maintainable web platform that strengthened the company’s digital presence and provided visitors with a clearer, more engaging experience of its security services.
🏨 Hotel Offers | Content Management System (CMS)
January 1, 2008 – August 1, 2024
•⚙️ Action: Led the coordination, analysis, and design of a Hotel Offers Content Management System to manage, publish, and present accommodation offers across internal and public-facing environments. •🧩 Context: Structured the solution into two subsystems: an administrative area for internal CRUD-based offer management and a public area for offer display and integration with the reservation flow. •📈 Result: Streamlined internal content operations and improved the customer booking journey by creating a clearer, more efficient system for managing and showcasing hotel offers.
🗣️ Internal Communications & Employee Engagement Platform
January 1, 2007 – July 1, 2015
•⚙️ Action: Designed and developed an internal blog platform to publish company updates, employee news, and community-focused content across the organization. •🧩 Context: Built for Centraldereservas.com as an internal communications space with thematic sections, including dedicated areas for personal milestones and employee recognition. •📈 Result: Strengthened internal communication, team cohesion, and company culture by creating a more engaging and inclusive space for sharing updates and celebrating employee moments.
📍 Maps | Location Content & Discovery Management Platform
January 1, 2007 – January 1, 2023
•⚙️ Action: Led the coordination, analysis, and design of a Location Management System to manage, maintain, and present destination data across internal and public-facing environments. •🧩 Context: Structured the solution into two subsystems: an administrative area for CRUD-based location management and a public interface for intuitive location discovery and visualization. •📈 Result: Improved the accuracy, accessibility, and usability of location information by creating a more efficient management workflow and a clearer exploration experience for end users.
🌐 Clubviajero.com | Travel Storytelling & Brand Content Platform
January 1, 2007 – July 1, 2014
•⚙️ Action: Designed and developed Clubviajero.com, a travel content platform built to publish immersive travel stories and destination-focused editorial content. •🧩 Context: Created as a brand-affiliated travel blog featuring narratives, tips, and destination insights from a recognized travel writer to strengthen audience engagement and content-driven visibility. •📈 Result: Enhanced the company’s travel brand presence by creating an inspiring and informative content hub that supported audience connection, destination discovery, and long-form storytelling.
🪪 Financial Risk & Delinquency Monitoring Platform
April 1, 2006 – January 1, 2011
•⚙️ Action: Designed and developed a delinquency management system to monitor overdue accounts and identify reservations with potential fraud risk based on business-defined rules. •🧩 Context: Built in collaboration with Accounting and Management teams to translate financial control criteria into a structured workflow for account monitoring, risk detection, and operational follow-up. •📈 Result: Improved financial oversight and response times by enabling earlier detection of payment issues and higher-risk reservations, supporting more efficient risk mitigation and resource allocation.
🏨 Hotelandia.com | Multilingual Hotel Offers & Campaign Management Platform
August 1, 2003 – August 1, 2010
•⚙️ Action: Designed and developed an offer management system for Hotel Andia to create, manage, and promote hotel offers across multiple customer-facing channels. •🧩 Context: Built with Sencha/ExtJS and MySQL, including multilingual support across seven languages, mailing functionality, calendar integration, and administrative tools for offer management. •📈 Result: Improved operational efficiency and customer engagement by enabling scalable multilingual offer publishing and more effective promotion of hotel campaigns and events.
Cultural Fit Analysis
The candidate demonstrates a strong passion for learning and applying new technologies, as evidenced by numerous personal projects in AI/ML, data engineering, and knowledge management. The diversity of projects, from AI-powered developer environments to data platforms and NLP applications, indicates a broad interest and adaptability. The candidate's recent bootcamp and ongoing personal projects suggest a proactive approach to skill development, which is a positive cultural indicator. However, the professional experience, while extensive, is largely in application development and data operations, not directly in a senior ML engineering capacity, which could present a gap in cultural fit for a purely research- or model-centric ML team without significant upskilling.
Soft Skills & Operational Fit
The candidate's project descriptions highlight actions and results, indicating a results-oriented approach. The long tenure at Centraldereservas.com suggests loyalty and the ability to contribute to diverse projects over time. The focus on personal projects demonstrates initiative and continuous learning. However, the professional experience in a direct ML Engineer role is limited, and recent professional roles are not directly aligned with senior ML engineering, which might impact operational fit for a high-autonomy role.