David Gonzalez Hernandez

Fähigkeiten und Kenntnisse

Apache Spark
Amazon Web Services (AWS)
Attention to Detail
Competitive Intelligence
Analytical Skills
Azure Data Factory
Consulting
Azure Databricks
Critical Thinking
Azure DevOps Services
Data Quality
Data Analysis
Azure SQL
Data Engineering
Data Science
Google BigQuery
Business Analysis
Data Governance
Database Administration
Interpersonal Communication
Business Requirements
Data Integrity
Database Design
Cloud Migration
Jupyter
Data Manipulation
Database Systems
Machine Learning
Cluster Analysis
Data Migration
Materials Science
Deep Learning
Microsoft Power BI
Data Modeling
Microsoft Access
Economics
Microsoft Power Query
Microsoft Azure
Project Management
Entrepreneurship
Microsoft SQL Server
SQL
PySpark
Financial Data
Microsoft Azure Machine Learning
MySQL
SQL Server Integration Services (SSIS)
Python
Microsoft Excel
Oral Communication
Financial Reporting
Statistical Modeling
Python (Programming Language)
Microsoft Fabric
Statistics
Organization Skills
R (Programming Language)
T-SQL
PostgreSQL
Scikit-Learn
Tableau
Presentation Skills
Self Learning
Presentations
Teamwork
Soft Skills
TensorFlow
Problem Solving
Software Projects
Spoken English

Werdegang

Berufserfahrung von David Gonzalez Hernandez

  • Bis heute 1 Jahr und 3 Monate, seit Mai 2025

    Associate Data Engineer

    Logicalis SA

    - ETL/ELT Management: Oversee and monitor daily batch processes in Azure Data Factory to ensure high data consistency and operational continuity. - Technical Enhancements & DevOps: Implement new features in SQL Server and Databricks, managing the full lifecycle through Azure DevOps with automated CI/CD pipelines. - Data Architecture: Deliver end-to-end solutions in Azure Synapse Analytics and build business-facing Power BI dashboards to improve KPI visibility. - Cloud Migrations: Lead technical assess

  • 1 Jahr und 6 Monate, Dez. 2023 - Mai 2025

    Associate Data Engineer

    Santander

    - Cloud Data Integration (Azure): Maintained and optimized end-to-end data ingestion and transformation workflows for large-scale banking datasets. Developed and managed robust pipelines using Azure Data Factory and SQL Stored Procedures (T-SQL) to ensure data reliability. - Monthly Reporting Operations: Orchestrated the financial reporting cycle in Power BI, implementing technical enhancements and rigorous data validation processes. Guaranteed the integrity of monthly banking KPIs for internal stakeholders

  • 1 Jahr und 8 Monate, Mai 2022 - Dez. 2023

    Junior Data Engineer

    INECO

    - SSIS Operations and Maintenance: Provided technical support for existing SSIS packages, ensuring the stability of daily data loads and troubleshooting execution failures in SQL Server environments. - Data Pipeline Monitoring: Monitored ETL workflows to ensure data consistency, performing minor SQL adjustments to improve the reliability of infrastructure reporting. Technical Stack: SSIS, T-SQL, Power BI

  • 1 Jahr und 5 Monate, Jan. 2021 - Mai 2022

    Junior Civil Engineer

    TPF Group

    - Maintained basic databases in Microsoft Access to support data organization and reporting. - Designed and implemented automated data processing workflows in Microsoft Excel using Power Query, improving data preparation efficiency. Technical Stack: Microsoft access, Excel, Power query

  • 6 Monate, Apr. 2019 - Sep. 2019

    Civil Engineering Intern

    VALLADARES ingeniería S.L.

    Responsible for structural oversight on over 5 national-level projects, with a notable project being the Office Building on Avenida Camino de Santiago. My responsibilities included: -Structural calculations for building projects. -Oversight of construction plans. -Optimization of reinforcement techniques.

Ausbildung von David Gonzalez Hernandez

  • 2019 - 2022

    B.Sc. Business Adminitration

    Universidad Nacional de Educación a Distancia - U.N.E.D.

  • 2017 - 2019

    M.Sc. Civil engineering

    Universidad Politécnica de Madrid

  • 2013 - 2017

    B.Sc. Civil engineering

    Universidad Politécnica de Madrid

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