Andres Moreira is a sales leader and former hacker with 17 years of technical and commercial experience, currently leading Zyte’s Americas sales organization from Montevideo. He blends deep Python and data-mining roots—contributions to prominent open-source projects like Scrapy and Hadoop tooling—with a track record of building and scaling client relationships and sales teams. At Zyte he has progressed from hands-on technical sales and project management to Enterprise Account Executive and Sales Team Lead, shaping strategy, coaching reps, and closing complex deals. He also co-founded a data-focused startup, bringing product-minded entrepreneurship to enterprise sales. This mix of backend engineering chops and commercial leadership enables him to speak credibly to technical buyers and translate complex data products into clear business value.
17 years of coding experience
15 years of employment as a software developer
Java Programmer, Computer Science, Java Programmer, Computer Science at Universitario Autónomo del Sur
Full Stack Web Developer Nanodegree, Computer Science, Full Stack Web Developer Nanodegree, Computer Science at Udacity
Computer Engineering, Computer Science, Computer Engineering, Computer Science at Universidad de la República
Scrapy, a fast high-level web crawling & scraping framework for Python.
Role in this project:
Back-end Developer
Contributions:19 commits in 4 years
Contributions summary:Andres primarily worked on improving the Scrapy framework's replay functionality. They modified the handling of downloaded responses, introducing a new signal and associated methods. Additionally, the user added features to update and replay crawls, enhancing the framework's ability to revisit previously downloaded pages. Furthermore, they implemented a rule engine to the framework.
Python module that allows one to easily write and run Hadoop programs.
Role in this project:
Backend Developer
Contributions:7 commits in 8 months
Contributions summary:Andres primarily contributed to the backend logic of the Dumbo project, a Python module for Hadoop programming. Their work focused on refactoring and optimizing existing code, particularly in the streaming backend, and implementing changes to core utilities. They also addressed bugs related to how options were parsed and handled, ensuring backward compatibility in the process. Additionally, the user added features like default parameters to the Params class.
pythonsparkpython-moduleprogramshadoop
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Andres Moreira - Sales Team Lead - Americas at Zyte