I am a data engineer and backend developer skilled in Python, SQL, JavaScript, R, and Julia. I create high-impact web applications while optimizing performance using Docker containers and Nginx. My work with AWS Lambda and S3 enhances functionality and scalability. I build machine learning models using Julia and Python and manage cloud infrastructure through Azure Data Lake, Synapse Analytics, and Databricks. My expertise includes backend development with MySQL and PostgreSQL databases, leveraging tools like Scikit-Learn and Pyomo to develop innovative solutions in projects such as renewable energy integration and lithium extraction optimization. I am also committed to continuous learning, demonstrated by my Microsoft Azure Data Engineering Associate certification.
Experience
PETROAGUILA
Jan 2019 – Mar 2024
Culiacán Rosales
Data Engineer
Key Responsibilities:
Developed web applications using Python (backend), React (frontend), and MySQL.
Created containerized applications using Docker.
Used Nginx for managing and routing client requests.
Designed and integrated a calculation subsystem in Julia.
Built Machine Learning models for sales trends and purchase behaviors with Julia.
Implemented reporting interfaces and KPIs on the frontend.
Managed development and maintenance of station tank measurement systems.
Automated testing and data processing tasks using Selenium.
Key Achievements:
Delivered a full-stack solution that improved business operations.
Integrated Machine Learning models into business processes, enhancing predictive analytics and product stocking strategies.
Led the adoption of containerization practices, improving deployment speed and reliability.
Automated routine testing and data processing, increasing productivity and system robustness.
