Jorge Navarro

Welcome! 👋🏼

I'm Jorge and for the past decade the implementation of Data Engineering systems in a corporate environment has been my focus. More specifically, designing and optimizing scalable data pipelines using modern cloud technologies. Building ETL/ELT workflows, automating data transformations, and ensuring data reliability for analytics and AI-driven applications.

Highlighted below are a few skills refined over the years but be sure to visit my resume page for more on my professional experience.

• Pipeline Automation & Orchestration -- Proficient in Apache Airflow to build automated data workflows that optimize processing efficiency.
• Data Modeling & Storage -- Experienced in structuring relational databases, optimizing SQL queries, and implementing observability mechanisms for quick incident management and response.
• Cloud & Infrastructure -- Leverage cloud computing to deploy resilient data solutions, integrating Infrastructure as Code (IaC) principles for scalability and maintainability.
• Coding & Version Control -- Skilled in Python, SQL, and GitHub, with hands-on experience developing reusable data components and robust CI/CD pipelines.

Technology evolves rapidly, is fast-paced and the innovation it drives requires collaboration with cross-functional teams to transform raw data into actionable insights. The critical roles I've filled in data engineering teams over the years, in turn, has left me confident in my abilities to overcome any challenge our digital world presents. Whether it's optimizing data ingestion, data transformations or automating workflows, my goal is to create efficient, reliable, and future-proof data solutions fueling data-driven decisions in any domain.

For more work history, check out my resume.

Thanks for stopping by 🚀