Adrián Martínez Martín

Data Governance · Python · Collibra

Full-time · Remote/hybrid preferred · Madrid · Flexible start

Professional profile

Data professional specialized in automation, data quality and governance, with experience managing technical catalogs of more than 150,000 products/SKUs and integrating information from multiple sources. Regular hands-on work with Python, pandas and SQL for data cleaning, normalization, matching, validation, transformation and integration, together with professional Collibra experience applied to Data Governance and Metadata Management. Technical profile focused on turning manual processes and heterogeneous data into reproducible, controlled and maintainable workflows.

Professional experience

DROMERSLAND SLJune 2020 – Present

IT Operator · Data and automation

Automotive data and catalogues · Madrid

Education

Basic Vocational Qualification in IT and Communications

Salesianos Atocha · Madrid · Oct 2018 – Jun 2020

Technical training in systems, networking, hardware and IT fundamentals. Included completion of compulsory secondary education (ESO).

Continuous learning in data and technology

Ongoing hands-on and self-directed learning through official documentation, labs, personal projects and professional application, developed continuously in Python, pandas, PostgreSQL, automation, data processing and quality, Metadata Management and Data Governance.

Microsoft Learn · Microsoft Purview (Information Protection, classification, DLP) · Collibra · Python · pandas · PostgreSQL · personal projects

Applied learning in analytics and data tools

Official Google certifications obtained in 2025 in advertising and measurement, built on hands-on work with Merchant Center, GA4, Google Ads, tagging and data quality.

Google Partners · Google Ads · GA4 · Merchant Center

Core Skills

Data Governance with CollibraData assets, attributes, relationships, metadata, lineage and documentation management.
Data QualityData validation, normalization, matching, deduplication and inconsistency detection.
Python & pandasAutomation of data processing, transformation, validation and control workflows.
SQL & PostgreSQLQuerying, cross-checking, analysis and validation of relational data.
EnglishAdvanced reading and writing; basic conversational level.