Rafael Noriega is a Computer Engineer with over Nine years of experience in the field. Throughout his professional career, he has been involved in diverse projects and challenges, assuming key roles such as Software Engineer, Data Engineer, and Data Architect. He possesses extensive proficiency in programming languages like Java, Python, and JavaScript (Node.js). In recent years, he has taken on prominent roles as an Architect and Data Engineer, leading the development of end-to-end solutions for clients with complex data requirements.
Apart from his technical expertise, Rafael excels in time management, planning, and crafting solution proposals. He demonstrates a profound grasp of crucial concepts, including Airflow, Cloud APIs, and Data Processing Frameworks, enabling him to deliver efficient and effective data solutions. His results-oriented approach and ability to comprehend client needs make him valuable for any data-related project.
● API definition and backend endpoint creation for a mining customer optimization model
● Data migration strategies for a seamless transition to the cloud.
● Active involvement in various Proof of Concepts (POCs) related to data and datagovernance.
● Data Solutions Proposals through Storytelling
● Developed diverse ETL and ELT processes leveraging frameworks such as Pandas,Python, PySpark, and more, ensuring efficient data workflows.
● Managed and supervised the data team for Client Solutions with excellence.
Rafael Noriega is a Computer Engineer with over Nine years of experience in the field. Throughout his professional career, he has been involved in diverse projects and challenges, assuming key roles such as Software Engineer, Data Engineer, and Data Architect. He possesses extensive proficiency in programming languages like Java, Python, and JavaScript (Node.js). In recent years, he has taken on prominent roles as an Architect and Data Engineer, leading the development of end-to-end solutions for clients with complex data requirements.
Apart from his technical expertise, Rafael excels in time management, planning, and crafting solution proposals. He demonstrates a profound grasp of crucial concepts, including Airflow, Cloud APIs, and Data Processing Frameworks, enabling him to deliver efficient and effective data solutions. His results-oriented approach and ability to comprehend client needs make him valuable for any data-related project.