Juan’s work spans the full data lifecycle, including architecting ETL/ELT processes, orchestrating workflows and automations, and designing high-performance data models. His technical competencies include Python, Databricks, Go, SQL/NoSQL databases, git, and workflow orchestration with Apache Airflow. This breadth enables him to translate complex business requirements into scalable, production-grade systems using software engineering principles.In addition to his hands-on engineering experience, Juan brings a rigorous analytical approach shaped by his background in mathematics and ongoing studies in computer science. His interests in deep learning, compilers, and systems design reflect his commitment to advancing both the theory and practice of modern data engineering.Juan joined Cuesta to pursue new and evolving challenges within the unique business contexts of each client.Outside of work, Juan enjoys exploring the countryside on hikes, reading science fiction, and delving into cinema and art. He is also fascinated by new software tools and mathematical research, which fuel his curiosity and creativity.
Data Engineer
Juan Angel Giraldo
Juan is a Data Engineer with expertise in designing and implementing data-driven solutions that bridge computer science and software engineering. He has designed and delivered end-to-end data pipelines for organizations across various industries, including healthcare, energy, financial services, and human resources, enabling them to unlock measurable business value through data.