
Data Engineer
He is proficient in SQL, Python, Tableau, and AWS, with hands-on experience in technologies such as Apache Spark, Airflow, and Airbyte. His AWS Cloud Practitioner certification highlights his capability in building scalable, efficient data solutions on cloud platforms.
Throughout his career, Felix has contributed to improving data processing workflows and designing robust data models and ETL systems. His work has significantly enhanced the speed and accuracy of decision-making across various cross-functional teams. Felix brings a results-driven mindset and a strong technical foundation to every project, helping organizations unlock the full potential of their data.

• 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:
Engineering excellence
Felix’s overall performance in a 90-minute live technical assessment ranks in the top 25% of vetted Data Engineers at Proxify.
Issued Aug 2023Â -Â Expires Jul 2026
Credential ID W0H8EHZ291B1QSK1
Issued Jan 2021
Credential ID coursera.org/verify/professionalcert/YA6WCSEJMMS6
Issued Aug 2023Â -Â 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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