Raul C.
Data Engineer
He has developed business-critical dashboards and implemented modern data architectures, including Unity Catalog and Retrieval-Augmented Generation (RAG) frameworks, ensuring secure, efficient, and reliable data access.
Raul has worked with Proxify’s clients, delivering high-impact data solutions that support strategic decision-making. Known for his collaborative approach, he excels in cross-functional teams and consistently transforms complex data challenges into actionable insights.
Main expertise
Python7 years
SQL4 years
Databricks4 years
ETL4 yearsExperience3
Data Engineer
- Built and optimized scalable ETL pipelines using PySpark and Databricks, including Delta Loads, and designed and maintained production-grade notebooks while orchestrating workflows.
- Led a successful migration to Unity Catalog, enabling improved data governance and access control.
- Applied modern data architectures, including Retrieval-Augmented Generation (RAG).
- Developed business-critical Power BI dashboards with custom visuals.
PostgreSQLDatabricks
Apache SparkPythonSQL
SQE
- Managed software supplier quality for major automotive ramp-ups, ensuring robust preventive quality systems.
- Acquired extensive industry knowledge in automotive compliance and Automotive-SPICE.
- Developed various data analysis tools to track supplier performance.
Azure Data Factory
Pandas
Project Manager
- Rolled out new e-transactions across more than 11,500 branches of the business partner OXXO in Mexico.
Assessments
Engineering excellence
Raul’s overall performance in a 90-minute live technical assessment ranks in the top 5% of vetted Data Engineers at Proxify.
Certificates 4
Issued Apr 2025
Credential ID 139797978
DatabricksPythonSQL
ScalaETLIssued Apr 2024 - Expires Apr 2026
Credential ID 101258981
DatabricksPythonSQLScalaETL
Issued Apr 2025
Credential ID 139797978
DatabricksPythonSQLScalaETLPortfolio
Highlighted by Raul
2• Designed and deployed a multi-agent Retrieval-Augmented Generation (RAG) chatbot to navigate diverse technical documentation. • Integrated advanced retrieval strategies and prompt engineering to enhance semantic search and cross-document linkage. • Applied a modular agent-based architecture, enabling scalable integration of future use cases.
Other projects 5
Education
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