¡Bienvenido al perfil Malt de Lucas !
Localización y desplazamiento
- Localización
- Madrid, España
- Puede trabajar en tus oficinas en
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- Alrededor de Madrid y 50 kms
Preferencias
- Duración del proyecto
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- ≤ 1 semana
- ≤ 1 mes
- Entre 1 y 3 meses
- Entre 3 y 6 meses
- ≥ 6 meses
- Tamaño de la empresa
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- 2-10 personas
- 11-49 personas
- 50 - 249 personas
- 250-999 personas
- 1000-4999 personas
+1 autres
Verificaciones
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Idiomas
Categorías
Habilidades (15)
- BigData
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- Databases
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- Data Science
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- Todos
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Lucas en pocas palabras
Hi, I'm a Senior Data Engineer currently working for Tom Tom here in Madrid offices. My daily tasks usually involve Data Acquisition, Data Orchestration, Pipeline Automatisation, Data Mining, Data Cleaning, Data Migration, Data Ingestion, Data Governance, Data Security, Code Standardisation, and Project Management.
Previously I've worked for clients such as Altran, Airbus, Boeing, GMV, Santander, and Telefonica. Some of the previous and current technologies I use the most are Python, Git, Github, Docker, PySpark, Databricks, Azure Services (Data Factory, Synapse, Key Vault, Data Lake Storage, Azure Devops), AWS Services (S3, Amazon Lambda, Redshift, IAM), PostgreSQL, and APIs.
Previously I've worked for clients such as Altran, Airbus, Boeing, GMV, Santander, and Telefonica. Some of the previous and current technologies I use the most are Python, Git, Github, Docker, PySpark, Databricks, Azure Services (Data Factory, Synapse, Key Vault, Data Lake Storage, Azure Devops), AWS Services (S3, Amazon Lambda, Redshift, IAM), PostgreSQL, and APIs.
Experiencia
Tom Tom
Automóvil
Senior Data Engineer
- Creation of E2E Processes (Databricks, Azure Data Lake Storage, Git, PowerBI, PostgreSQL)
- Data Security using Azure services like (KeyVault, Active Directory, Secret Rotator)
- Orchestration/Maintenance of data pipelines using Azure Data Factory
- Data Security using Azure services like (KeyVault, Active Directory, Secret Rotator)
- Orchestration/Maintenance of data pipelines using Azure Data Factory
Altran
Centros de investigación
Data Scientist Engineer
- Working with Python and doing project including ensemble machine learning for an aeronautical client.
- Using a gradient boosting regression multimodel for a signal flow prediction for a telecommunication client.
- Also using Tensorflow/Keras/Spacy for construction of knowledge graphs and recommender systems from NLP processes for an aeronautical client.
- Working within Hadoop’s ecosystem to develop an ETL and data cleaning inside a HBase and Spark connectivity.
- Another project implementing Python’s Flask to deploy ML models in micro services, and developing the front-end with AngularJS.
- Creating state-of-the-art image classification app for the Healthcare sector (COVID project) with Python´s Streamlit.
- Using a gradient boosting regression multimodel for a signal flow prediction for a telecommunication client.
- Also using Tensorflow/Keras/Spacy for construction of knowledge graphs and recommender systems from NLP processes for an aeronautical client.
- Working within Hadoop’s ecosystem to develop an ETL and data cleaning inside a HBase and Spark connectivity.
- Another project implementing Python’s Flask to deploy ML models in micro services, and developing the front-end with AngularJS.
- Creating state-of-the-art image classification app for the Healthcare sector (COVID project) with Python´s Streamlit.
ISBAN
Banca & seguros
Big Data Analyst
- Working on Big Data migrations from Santander’s Databases to a Hadoop-based DataLake.
- Also involved in applying ETLs for smooth transformations. Skills used: SQL, AWS, JIRA, and Qlikview.
- Also involved in applying ETLs for smooth transformations. Skills used: SQL, AWS, JIRA, and Qlikview.
GMV - GMV
Centros de investigación
Data Scientist
- Processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources (ETL).
- Leverage a variety of open source frameworks for large scale data management and distribution processing.
- Build rich tooling based on Python/Scala which enable others on the team to work with data effectively.
- Conduct advanced research on statistical models, machine learning approaches, and data mining algorithms to deliver highly relevant insights in an automated way.
- Leverage a variety of open source frameworks for large scale data management and distribution processing.
- Build rich tooling based on Python/Scala which enable others on the team to work with data effectively.
- Conduct advanced research on statistical models, machine learning approaches, and data mining algorithms to deliver highly relevant insights in an automated way.
The Audio Bar
Cine & audiovisual
Founder
- Making premium DAW project templates in Ableton, FL Studio, Bitwig, and Logic Pro X.
- Creating audio software plugins with Matlab and Python, mostly related to signal processing analysis and time series predictions.
- Creating audio software plugins with Matlab and Python, mostly related to signal processing analysis and time series predictions.
Recomendaciones externas
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