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David CascalesDC

David Cascales

Data Engineer

€200/day
Valencia, ES
3-7 years

Average response time: 1 hour

About David

My name is David, and I have 6 years of experience in the field of data science and engineering. As a physicist, I have a strong background in mathematics, which enables me to have a
deep understanding of the concepts behind these fields. I have specialized in applying data
engineering and data science techniques to solve complex problems in different areas. I love
working with Machine Learning, especially Deep Learning, and I am always looking for new
opportunities to expand my skills and knowledge in this area. I am curious and proactive, enjoy challenges, and always strive to find creative solutions. I consider myself a committed
collaborator and value working in a team to achieve common goals.
  • Spanish

    Native or bilingual

  • English

    Conversational

Can work on-site
Valencia (up to 50km)

Experience

  • PLEXUS TECH
    Data Engineer
    April 2023 - Today (3 years and 2 months)
    Development of ETL processes in PySpark for process migration to Hive within Cloudera or Azure/Databricks environments. Implementation of unit tests to ensure data quality. Performance optimization of processes. Automation of execution flow through Bash scripts
    Apache Spark Databricks Microsoft Azure Python SQL
  • CAPGEMINI
    Data Engineer
    January 2021 - January 2023 (2 years)
    Valencia, Spain
    Development of ETL processes in Azure Databricks to integrate and mi grate data from various databases to a centralized repository, ensuring data quality and consistency, while optimizing performance and scalabil ity. Creation of machine learning algorithms using Jupyter Notebooks, im plementation with Docker, and support on Linux servers. Development of chatbots with Kore.ai and Dialogflow, including design of conversational flows and natural language understanding.
    Python PostgreSQL Apache Spark SQL Docker
  • UNIVERSITAT POLITECNICA DE VALENCIA
    Data Scientist | Deep learning researcher
    January 2019 - January 2021 (2 years)
    Valencia, Spain
    Development and testing of deep learning models for the reconstruction of medical images generated by PET detectors for breast cancer detection.
    Python TensorFlow keras Scikit-learn

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Education

  • Data engineering - data
    UNED
    2020
    Data engineering - data
  • Theoretical
    UV
    2019
    Theoretical

Skill set

Categories