About Adrian
- Generative AI: LLMs (OpenAI, Azure AI, Google Vertex AI), RAG, LangChain, LangGraph, multi-agent orchestration, MCP (Model Context Protocol), prompt engineering, OCR
- Languages: Java, Scala, Python, SQL, C++
- Cloud & DevOps: Azure Cloud, Azure Data Lake, Azure Data Factory, Sidra Data Platform, Azure, Databricks, AKS, Azure DevOps, Azure AI & Machine Learning, Cloudera, Confluent.
- Big Data & Real-Time: Apache Kafka, Apache NIFI, Apache Spark, Apache Flink, Elasticsearch
- Databases: MongoDB (vector), Azure SQL, Oracle, Couchbase, Redis, Hive, Impala, Kudu.
- Data Visualization: Kibana, Grafana, Qlik, Power BI.
Spanish
Native or bilingual
English
Conversational
Experience
- BankinterGENERATIVE AI & DATA ENGINEERBANKING AND INSURANCEJanuary 2025 - Today (1 year and 5 months)Madrid, SpainGenerative AI and Data Engineer with solid experience in designing real-time data architectures, developing intelligent agents with LLMs, and deploying solutions in hybrid cloud environments. Specialized in creating RAG systems, multi-agent workflows, and applications that combine structured and unstructured data (OCR, multimodal documents).I have led automation, fraud prevention, and decision support projects in banking, integrating advanced processing, AI, and data governance.
- EVO BancoBig Data EngineerMarch 2021 - January 2025 (3 years and 10 months)SpainSKILLSGenerative AI: LLMs (OpenAI, Azure AI, Google Vertex AI), RAG, LangChain, LangGraph,multi-agent orchestration, MCP (Model Context Protocol), prompt engineering, OCR,Languages: Java, Scala, Python, SQL, C++Cloud & DevOps: Azure Cloud, Azure Data Lake, Azure Data Factory, Sidra Data Platform, AzureDatabricks, AKS, Azure DevOps, Azure AI & Machine Learning, Cloudera, Confluent.Big Data & Real-Time: Apache Kafka, Apache NIFI, Apache Spark, Apache Flink, ElasticsearchDatabases: MongoDB (vector), Azure SQL, Oracle, Couchbase, Redis, Hive, Impala, Kudu.Data Visualization: Kibana, Grafana, Qlik, Power BI.
- BBVA IT EspañaBig Data EngineerDecember 2020 - March 2021 (3 months)Madrid, SpainDevelopment of batch pipelines with Spark and maintenance of ETL processes.Operational support for workflows scheduled in Control-M
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Education
- University Master in Management and Analysis of Large Data Volumes: Big Data, Big DataUniversidad Europea Miguel de Cervantes2020Master Universitario en Gestión y Análisis de Grandes Volúmenes de Datos:Big Data, Big Data
- Degree in Engineering, Computer EngineeringUniversidad Complutense de Madrid2018Grado en Ingeniería, Ingeniería de computadores