Descripción

Soy ingeniera de datos con enfoque en Cloud y DevOps. He operado con pipelines escalables en batch con Python y Spark (PySpark), orquestados con Airflow y automatizados mediante GitLab CI/CD sobre AWS (S3). He trabajado en streaming y análisis en tiempo real con Kafka y Flink, y construí ETLs con NiFi. Integro monitorización y observabilidad con Prometheus/Telegraf/InfluxDB, Grafana y ELK (Elasticsearch/Kibana), y también desarrollo soluciones en Azure y Power BI cuando el proyecto lo requiere.

Ámbito de especialización en el sector

Idiomas

Español
Bilingüe o nativo
Inglés
Competencia profesional completa

Preferencias de lugar de trabajo

Solo teletrabajo

Lleva a cabo sus proyectos principalmente en remoto

OLX
Data Engineer
octubre de 2024 - Hoy (1 año y 8 meses)
Developed and maintained scalable Airflow DAGs for internal framework.
Refactored legacy data pipelines using PySpark, improving efficiency, scalability, and code quality.
Built GitLab CI/CD pipelines to automate DAG generation, deployment workflows, and S3 data operations.
Designed and optimized distributed data processing workflows with PySpark for large-scale experimentation data.
Produced clear, maintainable technical documentation to support knowledge sharing and team scaling.
Delivered production-grade data engineering solutions in collaboration with cross-functional teams.
Airflow AWS AWS S3 SQL Python Spark Gitlab PySpark
AVANADE
ML Engineer
enero de 2024 - octubre de 2024 (9 meses)
Madrid, Spain
• Utilized Microsoft Azure services to design, implement, and optimized AI solutions.
• Developed and customized intelligent assistants and chatbots using Copilot Studio.
• Enhanced user interfaces and integrating advanced functionalities with Power Automate.
• Implemented and optimized cloud solutions by leveraging Microsoft Azure services.
Python Microsoft Azure Copilot Power Automate Microsoft Power BI Machine Learning Git
Telefonica
Data/DevOps Engineer
junio de 2022 - enero de 2024 (1 año y 7 meses)
Madrid, Spain
• Worked on a pipeline that monitors 1 million logs daily for real-time log streaming analysis and processing.
• Developed automation-driven configurations and services with Ansible and Puppet, optimized the installation and configuration of services across numerous servers.
• Ensured seamless development, scaling, and troubleshooting of container technologies by using Kubernetes.
• Streamlined Telefonica-based components development by establishing tracking processes and executing logs through Kafka, Apache Flink, Java, Elasticsearch, and Kibana.
• Ensured seamless integration, processing, storage, and presentation of KPIs by utilising Prometheus, Telegraf, InfluxDB, and Grafana.
• Implement effective unit testing procedures in the pre-production phase to enhance quality and functionality.
• Administered architecture of hybrid environments and used Microsoft Azure to drive optimal performance.
Elasticsearch Kibana Grafana Apache Kafka Apache Nifi Bash Kubernetes Zabbix Git Ansible Puppet