Paulo Di Carlo

Data Engineer at LawPanel

Paulo Di Carlo has a diverse work history that spans over two decades. Their most recent experience is as a Data Engineer at LawPanel, a cloud-native SaaS platform that specializes in trademark services. Prior to this, they worked at Universidad Católica de Salta, where they held various roles including Data Analyst, Sales and Marketing Analyst, and Process Improvement Lead in the IT area. Before that, Paulo worked at the National University of Tucumán, where they were an Assistant Teacher and conducted research in Nanotechnology. Additionally, they have experience as a Network & Infrastructure Administrator and as a Developer, specializing in ASP Classic, MS Visual Basic, and software development for various applications such as cash register management, hotelier management, online marketplaces, and home automation control systems.

Paulo Di Carlo attended the Universidad Tecnológica Nacional from 2006 to 2015, and the Universidad Nacional de Tucumán from 2002 to 2010. Paulo obtained the CCNA certification from Universidad Tecnológica Nacional in August 2010, as well as certifications in Cisco Wan Technologies, Cisco Switching Basics and Intermediate Routing, Cisco Routers and Routing Basics, and Cisco Networking Basics from the Cisco Networking Academy. Additionally, they obtained a certification in Introducción a la instrumentación Virtual - Matlab Labview from Universidad Nacional de Tucumán in June 2010. Paulo Di Carlo has also acquired various other certifications including Advanced Google Analytics, Build Dashboards in Power BI, Coding for Marketers Course, Complete development cycle of a Data Science project, Console-Programmation- DB (1993-1994), Create a Custom Marketing Analytics Dashboard in Data Studio, Custom Attribution Modeling with Google Analytics, Data Analytics, Data Analytics in Power BI, Google Analytics for Beginners, Google Crash Course on Python, HTML, and Intermediate SQL from institutions such as Google, Coursera, Sololearn, and DataCamp.

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  • Data Engineer

    March, 2022 - present

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