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Daniel Iñigo has had extensive work experience in the field of data engineering and innovation. Daniel is currently employed at Datatonic as a Data Engineer, starting in February 2021. Prior to this role, they worked at DIVISADERO, where they held multiple positions. From May 2018 to February 2021, they served as a Big Data Engineer, focusing on developing and maintaining deployment and data workflows, as well as managing the development of in-house tools. From April 2015 to May 2018, they worked as an Innovation Technical Engineer, responsible for developing and tinkering with industry tools and infrastructure, primarily focused on demos. Daniel also worked as a Digital Intelligence Trainee from October 2015 to April 2016, where they managed analytics tools, tag managers, SDKs, and custom integrations.

Daniel Iñigo attended Universidad de Oviedo from 2008 to 2014, although the degree and field of study are not specified. In addition to their university education, they have obtained several certifications. In 2015, they obtained the Cambridge English: Advanced (CAE) certification from Cambridge Assessment English. In 2017, they earned certifications in Building Angular and Node Apps with Authentication, CISSP Cert Prep: 1 Security and Risk Management, Serverless Data Analysis with Google BigQuery and Cloud Dataflow, Google Cloud Platform Big Data and Machine Learning Fundamentals, and Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform. In 2020, they obtained the Professional Cloud Architect certification from Google Cloud. Daniel also holds the Microsoft Certified: Azure Fundamentals certification from 2020. In 2021, they obtained the Astronomer Certification DAG Authoring for Apache Airflow and AWS Certified Cloud Practitioner certifications. Most recently, in 2022, Daniel achieved the Professional Cloud Developer certification from Google Cloud and the Google Certified Professional - Data Engineer certification.