
Data Engineer
Il maîtrise SQL, Python, Tableau et AWS, avec une expérience pratique dans des technologies telles que Apache Spark, Airflow et Airbyte. Sa certification AWS Cloud Practitioner souligne sa capacité à élaborer des solutions de données évolutives et efficaces sur des plateformes en nuage.
Tout au long de sa carrière, Felix a contribué à l'amélioration des flux de traitement des données et à la conception de modèles de données et de systèmes ETL robustes. Son travail a permis d'améliorer considérablement la rapidité et la précision de la prise de décision au sein de diverses équipes interfonctionnelles. Felix apporte un état d'esprit axé sur les résultats et une base technique solide à chaque projet, aidant les organisations à libérer le plein potentiel de leurs données.

• Building and optimizing data pipelines for diverse clients. Skilled in Python, SQL, and AWS for data processing and storage.
• Designing Cloud Infrastructure on data warehouse projects.
• Delivered a real-time data analytics platform for an e-commerce client, enabling faster decision-making based on customer behavior
Achievements: He worked and implemented cloud-based data solutions for several clients as a freelance. Lastly, he has worked on setting a real-time process based in Kafka for the customer platform, improving the performance of the whole ETL process. He used GitHub Actions in some cases to execute standalone data pipelines.

• Build, test, and maintain database and ETL pipeline architectures.
• Collaborate with management to understand how data is connected.
• Create new data validation methods and data analysis tools.
• Ensure compliance with data governance and security policies.
• Develop algorithms to transform data into useful, actionable information.
Achievements: Improvement of manual processes by implementing data integration tools within the data pipelines of the project. This made faster data ingestión for the ETL process.
• Analyze the data pipelines and perform data queries on data stored in diverse data warehouses (SQL Server, MySQL).
• Validate rules for bringing data over, update the data model to reflect any changes, perform reconciliation analysis, and update mapping tables.
• Create data visualization using Tableau, Qliksense, and open-source libraries.
Achievements: Collaborated with developers and stakeholders by helping them to shape data models for database migration,

• Translate the customer, business and market needs into product requirements.
• Coordinate with 3rd party companies to deliver on requirements.
• Understand and identify opportunities to improve and manage data through BI tools like QlikView, QlikSense, Cognos, Alteryx, PowerBI.
Achievements:

• Execution of application support for application development activities and maintenance for Oracle EPM products.
• Manage and deliver data to relevant departments within the organization
• Design, develop, and maintain OBIEE dashboards.
Achievements:
Excellence en ingénierie
Les performances globales de Felix lors d'une évaluation technique en direct de 90 minutes se classent dans le top 25% des Data Engineer évalués chez Proxify.
Issued Aug 2023 - Expires Jul 2026
Credential ID W0H8EHZ291B1QSK1
Issued Jan 2021
Credential ID coursera.org/verify/professionalcert/YA6WCSEJMMS6
Issued Aug 2023 - Expires Jul 2026
Credential ID W0H8EHZ291B1QSK1
1In this practical project, my intention was to showcase the power of Airflow to orchestrate data processes. This extracts the latest movies from TMDB and saves detailed information from them in a local directory. It can be customized to get valuable insights from this data.


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