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Pablo Agustín Navarro has a diverse range of work experience in the field of information technology. In 2022, they worked as a Data Developer at MUTT DATA, where they were responsible for designing, developing, and maintaining a data-driven solution. Pablo Agustín also played a role in creating data pipelines and implementing databases using SQL. Pablo tested and documented the performance and process of data pipelines at this company.

Prior to this, Pablo worked as a Full Stack Developer at Caja Popular de Ahorros de Tucumán from 2021 to 2022. In this role, they administered and maintained information systems using technologies like Visual Basic, Microsoft Access, Python, and Django. Pablo Agustín also developed an integrated solution proposal, utilizing Backend Technologies such as PHP, Laravel, and PostgreSQL, as well as Frontend Technologies including React, Javascript, and Ant Design.

Before their role at Caja Popular de Ahorros de Tucumán, Pablo held positions at Universidad Tecnológica Nacional Facultad Regional Tucumán - Dirección de Proyectos Informáticos. From November 2020 to February 2021, they worked as an Information Technology Assistant, and from July to October 2020, they served as a Junior System Analyst.

Overall, Pablo Agustín Navarro's work experience showcases their proficiency in data development, database administration, information system maintenance, and full stack development using a variety of technologies and tools.

Pablo Agustín Navarro completed their education at Universidad Tecnológica Nacional from 2016 to 2021, obtaining an Engineer's degree in Information Systems Engineering. Pablo Agustín also pursued several additional certifications, including "Build and Optimize Data Warehouses with BigQuery," "Building Resilient Streaming Analytics Systems on Google Cloud," "Engineer Data in Google Cloud," "Perform Foundational Data, ML, and AI Tasks in Google Cloud," "Serverless Data Processing with Dataflow: Foundations," "Smart Analytics, Machine Learning, and AI on Google Cloud," "Building Batch Data Pipelines on Google Cloud," "Modernizing Data Lakes and Data Warehouses with Google Cloud," "Astronomer Certification DAG Authoring for Apache Airflow," "Astronomer Certification for Apache Airflow Fundamentals," "English Level B2," "AWS Certified Cloud Practitioner," and "Google Cloud Certified Professional Data Engineer."