Description

Big Data Engineer, mainly working with Spark and Python. Currently working as a Machine Learning Engineer with MLOps.

I've also worked with many technologies like: azure, databricks, hadoop, hive, impala, git, spark tuning, ETL pipelines, SQL, Java, machine learning, java, devops, unit testing, ...

I can help with tasks like: creating data pipelines, maintaining systems, implementing MLOps, and development in general.

Languages

Spanish
Native or bilingual
English
Fluent
Dutch
Basic

Workplace preferences

Remote only

Primarily works remotely

Bankinter
Big Data Engineer
March 2020 - Today (6 years and 4 months)
Madrid, Spain
Ingeniero de datos Big Data. Trabajando con: Hadoop, Hive, Impala, Spark, Python, Bash, Git, Jira, Excel, Cloudera Data Engineer with the following functions:
• Data ingestion.
• Permissions management.
• Big Data processing with Spark.
• Creation of data pipelines with Spark, Python and Kedro.
• Data analysis and reporting: SQL, Hive, Impala, Jupyter Notebooks.
• Code improvements, scalability, efficiency, maintainability.
• Creation of a programming standard for the department.
• Monitoring the correct use of Git in department.
• Deployment to production environment using Jenkins, Docker and own tools.
• Maintenance of legacy programs.
• Management of small teams with Scrum, Jira, Excel.
• Migrations of programs to newer versions.
JLL
Ingeniero de datos Big Data
September 2022 - Today (3 years and 10 months)
Madrid, Spain
Data Engineer with Spark, Azure, Databricks, Azure Devops
Pragsis Bidoop
Data Engineer
July 2019 - March 2020 (8 months)
Spain
Ingeniero de datos Big Data ocupado principalmente de la ingesta de datos. Trabajando con: Hadoop, Hive, Impala, Spark, Python, Bash