Introduction
My name is Jorge Herrera.
I moved to the United States with a family and professional project in mind, driven by a passion for reading
I usually read 70 to 80 books annually on diverse topics beyond technology, and with the goal of applying my knowledge in computer science to advising companies.
I am a Computer Engineer and graduated in 2005 from Universidad Atlántida Argentina.
I have over 15 years of experience in various technical fields, including construction, high-performance engine mechanics, and industrial machinery.
I have always been passionate about using technology and combining diverse knowledge to solve real-world problems—a passion
I have also brought into teaching and mentoring.
Throughout my career, I have followed diverse paths, combining engineering with sports, where I competed as a professional motocross athlete.
These unique experiences have sharpened my problem-solving skills and shaped my innovative approach.
Currently, I specialize in data engineering, database design, and integrating artificial intelligence (AI) into structured data systems.
My daily work involves designing database architectures, optimizing SQL queries, and exploring how AI can enhance data-driven decision-making.
My role bridges data management and advanced analytics, enabling organizations to make informed decisions and address complex challenges.
Engineering Fellow
career options
Engineering Fellow
skills
What are the main hard skills you use on a daily basis in your current job?
Writing and optimizing SQL queries to ensure efficient data retrieval and processing
Creating normalized database schemas and entity-relationship diagrams to support complex data workflows
Extracting, transforming, and loading data from multiple sources into unified systems. This is essential for enabling analytics and AI applications
Data analysis skills are crucial in biotechnology and biomedical engineering, allowing for interpreting and extracting insights from complex datasets. Proficiency in statistical analysis, knowledge of data analysis techniques, and familiarity with software and statistical packages commonly used in these fields are essential for effective data analysis.
Applying AI techniques to improve data analysis and automate decision-making processes
What are the main soft skills you use on a daily basis in your current job?
Tackling technical challenges creatively and efficiently, often under tight deadlines
Translating complex technical concepts into understandable insights for non-technical stakeholders. This skill is crucial because technical expertise has limited impact if not communicated effectivel
Guiding multidisciplinary teams in collaborative projects to achieve common goals
Quickly learning new tools and methodologies to stay updated in a constantly evolving technological landscape
Sharing knowledge and skills with students and colleagues to foster growth and innovation
Jorge
’s personal path
Tell us about your personal journey in
Engineering Fellow
:
My journey began with a deep curiosity about how things work, leading me to study Computer Engineering. Among engineering fields, Computer Engineering stands out for its broad curriculum, covering both computer science and foundational engineering subjects.
Early in my career, I worked on construction and mechanical engineering projects, applying logical thinking and problem-solving skills acquired during my studies.
Transitioning to data engineering and AI was a natural evolution, driven by my fascination with how technology processes and analyzes vast amounts of information.
I first encountered these concepts during university around 2002/2003. At the time, they seemed almost futuristic, but they were already gaining traction among those of us working with computer science.
The rapid advancement of technology required continuous learning, attending technical workshops, and leveraging platforms like LinkedIn to expand my network. Securing my current position was a journey filled with challenges, but persistence and adaptability were key.
What would you tell your younger you regarding building your current career?
I would tell my younger self to remain open to unexpected opportunities and not fear failure, as it is part of growth.
Every setback is an opportunity to learn and grow. Building a career is a marathon, not a sprint.
Focus on creating a solid foundation of skills and do not hesitate to seek mentorship and collaboration. These relationships can open paths you never imagined.
Final thoughts & tips
A career in data engineering and AI is incredibly rewarding but requires dedication and continuous learning. Stay curious and embrace challenges, as they are opportunities to grow.
Remember, technology is a tool to solve real-world problems, so always keep the broader impact in mind.
Finally, networking and collaboration are invaluable for career advancement—never underestimate their importance.
Resources to dig in more
"Learning SQL" by Alan Beaulieu
A comprehensive guide to understanding and mastering SQL, from basics to advanced queries.
Blog Towards Data Science
A blog with insights and tutorials on data engineering, machine learning, and AI.
SQL Fiddle
A web-based tool for testing and sharing SQL queries.
Coursera: Data Engineering and AI Courses
Online courses covering various aspects of data engineering and AI, taught by industry experts
