Description

As an external Data Advisor, I help organizations assess their data maturity and define strategies to increase business value through scalable cloud and AI-driven data platforms.

My experience includes leading data initiatives across AWS, Azure, GCP, Snowflake, BigQuery, SAP Analytics, and Microsoft Fabric, translating business requirements into modern data architectures and governance frameworks.

I design and implement AI/ML workflows, Data Lakes, Data Warehouses, Data Mesh architectures, and data products for industries including Banking, Pharma, Manufacturing, Media, and Telecommunications.

My technical expertise includes Python, Apache Spark, Kubernetes, Databricks, Snowflake, BigQuery, Fivetran, Denodo, Appian, API development, CDC integrations, and cloud migration strategies. I also define operational frameworks covering DevOps, DataOps, MLOps, FinOps, cybersecurity, GDPR compliance, and platform governance.

Previous clients include BBVA, Banco Santander, WTA, Cepsa, Schneider Electric, Deutsche Telekom, and EY.

Languages

English
Fluent
Spanish
Native or bilingual

Workplace preferences

Can work on-site

Madrid (up to 50km), Madrid (up to 50km)

Nubemetrica SA
Data Advisor
January 2022 - Today (4 years and 5 months)
Madrid, Spain
As an external Data Advisor, I help organizations assess their data maturity and define strategies to increase business value through scalable cloud and AI-driven data platforms.

My experience includes leading data initiatives across AWS, Azure, GCP, Snowflake, BigQuery, SAP Analytics, and Microsoft Fabric, translating business requirements into modern data architectures and governance frameworks.

I design and implement AI/ML workflows, Data Lakes, Data Warehouses, Data Mesh architectures, and data products for industries including Banking, Pharma, Manufacturing, Media, and Telecommunications.

My technical expertise includes Python, Apache Spark, Kubernetes, Databricks, Snowflake, BigQuery, Fivetran, Denodo, Appian, API development, CDC integrations, and cloud migration strategies. I also define operational frameworks covering DevOps, DataOps, MLOps, FinOps, cybersecurity, GDPR compliance, and platform governance.

Previous clients include BBVA, Banco Santander, WTA, Cepsa, Schneider Electric, Deutsche Telekom, and EY.
Databricks Snowflake
Banco Santander
Data Strategist
BANKING AND INSURANCE
September 2020 - September 2022 (2 years)
Madrid, Spain
• Ensure data is harnessed to create operational efficiencies.
• Support Card, Lending, Leasing, Automobile-subscription and Insurance business lines project initiatives.
• Partnering with Santander Bank Global CTO, CDO, CcoE, DPO, DevOps, Cybersecurity and Risk Teams in implementing global policies and best practices.
• Provide Technical mentorship and hands-on contribution regarding SQL, Databases, DWH and Data Lakes.
• Design the data strategy roadmap and provide advice to reduce costs in terms of data management, data governance, data processing and IT infrastructure.
• Keep data in motion using the latest event-driven and domain-driven methodologies.
• Provide deep technology insights and KPIs analysis to the executive leadership team and influence strategic business decisions.
• Migrate to cloud, modernize and evolve/kill existing on-premise data platform.
• Promote data analytics best practices and hyper-ephemeral data components features adoption.
• Support Azure and AWS cloud migration and implementation initiatives across different internal units and global teams.
• Implement high availability and load balancing features.
• Deliver platform stability and reliability to maintain optimal customer experiences.
• Use stakeholders' feedback to inform necessary improvements and adjustments to technology.
• Adapt data component to manage GDPR and Data Privacy requirements.
• Manage external IT and consulting services providers.
• Define data integrations between core banking, insurance and 3rd Party platforms
• Snowflake, Confluent Kafka Cloud, Oracle, PostgreSQL, Mysql, EMR, Databricks, Kubernetes, Tableau, Oracle SQL Developer, Oracle SQL Data Modeler, PowerBI, SprintBoot, AWS QuickSight, Apache Iceberg, Apache Spark, Apache Airflow and AWS SageMaker (Machine Learning) are part of the technology stack.
Big Data Data Engineer Data science Data mining Data Analysis
EY
Manager at Telefonica Spain
TECH
April 2019 - Today (7 years and 2 months)
Madrid, Spain
• Identify commercial or technical opportunities and support RFP workflows.
• Make high level recommendations about how to improve the current IT ecosystems.
• Design and implement cloud computing (Azure, AWS, GCP), data analytics/big data, software development and digital transformation initiatives.
Take the needs and challenges of the client and partner with them to formulate the delivery roadmap and project plans to support IT business strategies and goals.
• Lead data Identification, data modeling, data integration and data processing activities from different sources.
• Execute IT strategy and orchestrate the creation of successful value propositions at the company and individual level.
• Navigate teams through all phases of project delivery to ensure successful delivery of exceptional technical solutions.
• Manage delivery scope and risks throughout the lifecycle of the project.
Be a trusted and valued partner of the IT executives and business stakeholders.
Maintain, and deepen where possible, existing client relationships that yield continuing opportunities for EY.
• Build positive team dynamics and relationships with client staff; remedying dysfunction to maintain healthy and productive EY initiatives at the Client.
management bigdata blueprism trustportal Spark databricks azure oracle database