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Camilo Andres Diaz Gomez Data EngineerCA

Camilo Andres Diaz Gomez

Data Engineer
  • Suggested rate
    €223 / day
  • Experience3-7 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Camilo Andres's quote.
Location and workplace preferences
Location
Madrid, Spain
Remote only
Primarily works remotely
Verifications

Freelancer code of conduct signed

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Verified email
Languages
Categories
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Skill set
Industry fields of expertise
Camilo Andres in a few words
Bilingual Systems Engineer and Technology Consultant with +3 years of consulting experience, specializing in data engineering and data science in agribusiness, healthcare, energy, telecommunications, and banking. Expertise in ETL optimization, Machine Learning, and cloud solutions (Azure, Databricks). Specialized in designing and implementing scalable data-driven solutions. Adaptable to new challenges and technologies, strong interpersonal and teamwork skills.
Experience
  • QARACTER
    Business Consultant
    CONSULTING & AUDITS
    September 2024 - Today (8 months)
    Madrid, Spain
    • Implements automated workflows using Alteryx and creates visualizations with Tableau in a banking environment
    • Optimizes data processes and enhances decision-making through advanced analytics
    • Ensures the efficient integration of data sources to obtain actionable insights and support strategic decisions
  • Publicis Sapient
    Assocciate
    CONSULTING & AUDITS
    October 2023 - September 2024 (11 months)
    Bogotá, Bogota, Colombia
    • Participated in the requirements gathering and design of the data architecture for a healthcare sector client, starting the project from scratch
    • Optimized, modernized, and migrated ETL processes using PySpark (Spark), Databricks, and Azure services
    • Designed scalable systems, improving efficiency and reducing ETL process runtime by 30% EY Python, R, PostgreSQL, NoSQL, GIS, Spark, ML, Azure, Databricks
  • EY
    Staff Data & Analytics Consultant
    CONSULTING & AUDITS
    July 2022 - October 2023 (1 year and 4 months)
    Bogotá, Bogota, Colombia
    • Developed solutions for processing structured, unstructured, and geospatial data, implementing interpolation and extrapolation techniques to improve accuracy in analysis
    • Created and trained Machine Learning models, and used SQL and ETL to integrate and analyze data from various sources, achieving a 15% improvement in processing time
    • Significantly reduced client costs and processing time (95% in time and 90% in costs)
Recommendations
Education
  • MSc in Data Science, Big Data and Artificial Intelligence
    Complutense University of Madrid
    2025
    MSc in Data Science, Big Data and Artificial Intelligence
  • BSc in Systems Engineering
    San Buenaventura University
    2023
    BSc in Systems Engineering
Certifications