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Otras habilidades profesionales (8)
Cristopher en pocas palabras
Data Engineer, experience in Data Analysis, Big Data, ETL and Project Management.
Great motivation and knowledge in Data Science and Innovation. High analytic, problem solving skill and focused on achievements. Good learning capacity with high disposition to teach and concerned about good labour relations.
Knowledge and experience in tools and technologies like: Python, SQL, Docker, Apache Spark, Apache Airflow, Web Scrapping, API, Flask/Django, Machine Learning, NLP, Git, Bash, Power BI, Tableau
Experiencia
- MinsaitData EngineerHIGH TECHagosto de 2021 - Hoy (3 años y 4 meses)Madrid, SpainPROJECTS:- J. GARCIA CARRION: Development of ELT process in Google Cloud Platform.- IBERDROLA: Implementation of an algorithm for optimal work assignment.- AXA: Modification of the file ingestion system to load Cobol files using Cobrix library in Azure Databricks. TOOLS / TECHNOLOGIES:- Python, Pandas, SQL- Google Cloud, Azure Databricks- REST API, Flask, Django- Scala, Spark- Docker
- Konecta CorporativaData EngineerHIGH TECHmarzo de 2020 - julio de 2021 (1 año y 4 meses)Madrid, SpainPROJECTS:- Implementing automation in different reports for Santander Operaciones (banking).- Analysing current processes and managing the standardization of procedures to create every report- Modifying databases, creating new tables and uploading files in Datalake based in Cloudera Hue TOOLS / TECHNOLOGIES:- Python, Pandas, SQL- Hadoop, Hive, Spark, HQL- MS Excel
- CLUB INTERNACIONAL DEL LIBRO MARKETING DIRECTO SLData Analystmarzo de 2019 - febrero de 2020 (11 meses)Madrid, SpainRESPONSIBILITIES:- Analyze the customer payment behavior to create and manage the development of new processes and projects.- Responsible for the coordination of the collection processes in Spain, France and Portugal, ensuring the proper functioning in all countries. PROJECTS:- Automation of databases and reports from MS Excel/Access to databases- Bringing support to the implementation of Machine Learning Model for fraud detection- Implementation of automatic sending process to customers with debts TOOLS / TECHNOLOGIES:- Python, Pandas- SQL- MS Azure- MS Excel, MS PowerQuery, MS PowerPivot
Recomendaciones externas
Formación
- Master's degree, Data AnalyticsIronhack2020Master's degree, Data Analytics
- Bachelor of EngineeringUniversidad de Concepción2009Bachelor of Engineering - BE, Industrial Engineering