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Profesor fiable
Este profe tiene una tasa de respuesta rápida muy elevada, ofreciendo así un servicio de buena calidad y fiabilidad a sus estudiantes.
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Desde diciembre 2024
Profesor desde diciembre 2024
Data Engineering & Science: Packaging Python Projects & deployment tools either on premise or on Cloud (Amazon AWS)
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A partir de 41.83 $ /h
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In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments.

Contact me if you want to have more information about the course!
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Clases en el domicilio del estudiante :
  • Alrededor de Bruselas, Bélgica
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Conectado desde Bélgica
Acerca de mí
I am a dedicated software engineer with a Master's and Ph.D. in Computer Science from ULB University. With years of experience in both academia and industry, I specialize in helping students understand complex concepts in programming, algorithms, and software development. My teaching approach is student-centered, fostering critical thinking and problem-solving skills tailored to individual learning styles.

Whether you are a beginner looking to write your first line of code or an advanced learner diving into data structures, machine learning, or system design, I am here to guide you every step of the way.
Formación
- PhD in computer Science from the Université Libre de Bruxelles (ULB), Brussels, Belgium
- Specialized in Big Data Management, Geographical Data Management, Databases, DevOps automation tools.
Experiencia / Calificaciones
Database: SQL Server, PostgreSQL, MySQL
Data Science and Data Engineering tools: Python, GenAI, Data Lake, DBT, Airflow
Big Data tools: Hadoop, Spark
Cloud: AWS and Azure Services
DevOps tools: CI/CD pipelines, GitHub, Docker, Kubernetes,
Edad
Adultos (18-64 años)
Nivel del estudiante
Principiante
Intermedio
Avanzado
Duración
60 minutos
La clase se imparte en
inglés
neerlandés
árabe
Comentarios
Disponibilidad en una semana típica.
(GMT -05:00)
Nueva York
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En línea vía webcam
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Clases en el domicilio del estudiante
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Whether you are a beginner writing your first lines of code or an advanced learner tackling complex concepts, I tailor lessons to suit your needs. Together, we will focus on practical skills, problem-solving, and real-world projects to make programming intuitive and rewarding. Let’s work together to turn your goals into achievements!
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This course provides a hands-on approach to mastering Apache Airflow, a powerful open-source workflow automation tool widely used in ETL (Extract, Transform, Load) processes. You will learn how to build, schedule, monitor, and optimize data pipelines, ensuring data reliability and efficiency in production environments. Through real-world examples and projects, you will gain the skills required to become a proficient Data Engineer capable of handling complex workflows in modern data ecosystems.

This course will allow you to build multiple real-world ETL workflows using Apache Airflow. Let me know if you would like additional information! 🚀
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