Summary
Sabrina Labrador is a Senior Data Engineer based in Austin with nine years of experience building data-driven solutions that turn business questions into actionable intelligence. She combines a systems engineering background with hands-on expertise in Python (including pandas, scikit-learn, Keras/TensorFlow), SQL, Spark, and cloud platforms (AWS, IBM Cloud) to design scalable pipelines and production-ready ML workflows. At Cebu Work Boots she leads data engineering efforts while her prior roles at Mercantil Bank spanned business intelligence and analytics, grounding her technical work in stakeholder-focused outcomes. Comfortable across Tableau/PowerBI, Google Sheets/Excel, and R, she bridges rapid exploration and enterprise reporting. Sabrina routinely applies web scraping and deep learning techniques to extract and operationalize novel data signals, and is known for translating complex models into clear, business-facing insights.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Systems Engineering, Bachelor of Engineering - BE, Systems Engineering at Universidad de los Andes (VE)
Spanish, English