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Data Detective. IA Architect. Part time comic-book artist.
I was the guy that hated databases. This changed after I met my first big dataset, setting-up an alarm management system: Every minute there was a flood of alarms coming to the database. Some were new, some updates of previous alarms. At the end of the day the system received more than 1 million events. And it wasn't at full capacity yet. The system had a reporting/BI application that was slow as hell. Sometimes it needed more than one hour to give the user an answer. My users hated it. I hated it, too. I tried all the tricks I knew to make that application more responsive and it worked better for a while. Then I learned new tricks, and it worked for some time until it failed again... over and over again. The problem was not the database, the application, or the high volume of data. It was a common problem: The problem with big or small data is you need to see the whole picture. - Where do data come from? - Where do I store the data? - Who needs the data? - How? - When? - How many times? And... what resources do we have? After asking this I had a solution. Do you want to know it? Do you have similar problems with your (big or small) data? Drop me an email -> igponce at gmail (you know the rest) and let's talk!
Universidad de Alcalá
Ingeniero Técnico en Informática de Sistemas
N/A – Present
MBIT School
Professor
March 1, 2026 – Present
Madrid · On-site
SIRT
AI Architect & LLM Whisperer
May 1, 2024 – Present
Barcelona · Hybrid
Semrush
Data Delivery Manager
February 1, 2023 – April 1, 2024
Greater Barcelona Metropolitan Area · Hybrid
Evolutio Empowering the cloud
Data & Analytics Senior consultant
June 1, 2020 – March 1, 2023
Madrid, Community of Madrid, Spain · Hybrid
BT
Big Data & Analytics S&IT Lead Consultant
June 1, 2019 – March 1, 2023
Madrid Area, Spain
Tinámica
Big Data Architect
September 1, 2018 – May 1, 2019
Synergic Partners
Telco Delivery Manager
February 1, 2018 – May 1, 2018
Madrid Area, Spain
Mobile One2One (MO2O)
Data & Machine Learning Product Owner
September 1, 2016 – February 1, 2018
Madrid Area, Spain
Freelance
Freelance Data & Analytics consultant
September 1, 2015 – August 1, 2016
Telefonica Global Solutions
Product Owner (innovation project)
March 1, 2013 – December 1, 2014
Telefonica Global Solutions
New technologies advisor
December 1, 2012 – July 1, 2015
Telefonica International Wholesale Services
IT Service Design Consultant
January 1, 2010 – December 1, 2012
Universidad Antonio de Nebrija
Associate Professor
September 1, 2007 – June 1, 2008
Mootion.com
Technical Founder
February 1, 2006 – April 1, 2009
Telefonica International Wholesale Services
Systems and Services Integration Consultant
May 1, 2003 – December 1, 2009
Telefonica Data
Support Engineer
March 1, 2000 – May 1, 2003
Madrid Area, Spain
Universidad de Alcalá
System Administrator - Scientific computing
January 1, 1998 – March 1, 2000
Alcalá De Henares Area, Spain
ADV Internet
Freelance SQL Server and Linux/Windows administrator
June 1, 1996 – December 1, 1996
Madrid, Spain
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Data Governance & Privacy Foundation Certification
Informatica
June 24, 2026 – Present
Scrum Fundamentals Certified
Vabro.ai and VMEdu.com (Scrum/Kanban/AI/Business Analysis/OKRs/Six Sigma/Sales and Marketing etc.)
June 24, 2026 – Present
PROFESSIONAL CLOUD ARCHITECT
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
edX Verified Certificate for Introduction to Big Data with Apache Spark
edX
June 24, 2026 – Present
AI Agents Fundamentals
Hugging Face
June 24, 2026 – Present
Google Cloud Certified Professional Data Engineer
Google Cloud Platform Certified
June 24, 2026 – Present
Enterprise Deep Learning with Tensorflow
SAP
June 24, 2026 – Present
Tableau Desktop 10 Qualified Associate
Tableau
June 24, 2026 – Present
IBM Certified Database Associate - DB2 10.1 Fundamentals
IBM
June 24, 2026 – Present
ITILv3 Foundation
EXIN
June 24, 2026 – Present
Berkeley Big Data XSeries
edX
June 24, 2026 – Present
Entrepreneurship 101: Who is your customer?
edX
June 24, 2026 – Present
TOEFL iBT - Test of Engish as a Foreign Language
ETS - Educational Testing Service
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards innovation and leadership in data and AI. Their experience as a professor and technical founder, combined with numerous certifications in emerging technologies (AI Agents, Deep Learning, Big Data), indicates a proactive, continuous learning mindset. However, the target role of 'Data Analyst' might be a step down from their recent 'AI Architect & LLM Whisperer' and 'Data Delivery Manager' roles, potentially leading to a mismatch in expectations or underutilization of their advanced skills. While the breadth of experience is vast, the specific alignment with a pure 'Data Analyst' role, which typically focuses on reporting and ad-hoc analysis, is not perfectly aligned with their senior architectural and management background.
Soft Skills & Operational Fit
The candidate's extensive experience in consulting, product ownership, and management roles suggests strong soft skills including leadership, stakeholder management, and strategic thinking. Their teaching experience further indicates an ability to clearly articulate complex concepts. The diverse roles across different companies and industries (telecom, media, security) suggest adaptability and a proactive approach to new technologies, which aligns well with operational fit in dynamic environments.