Fernando Collová

Fernando Collová

Discipline Lead @ Endava

About Fernando Collová

Fernando Collová is the Discipline Lead at Endava in Greater Buenos Aires, with extensive experience in software development and project management.

Current Roles at Endava

Fernando Collová serves as a Discipline Lead and Software Development Consultant at Endava in Greater Buenos Aires. He is actively engaged in overseeing the Python Discipline and managing related projects. His responsibilities include promoting initiatives and standardizing Python knowledge across seniority levels at both Buenos Aires and Cordoba locations.

Previous Positions at Endava

Prior to his current roles, Fernando Collová worked as a Senior Software Developer at Endava from 2019 to 2021 in Buenos Aires, Buenos Aires Province, Argentina. His tenure at Endava has seen him transition from a development role to leadership and consulting positions, reflecting his growing expertise and influence within the company.

Notable Past Roles

Fernando Collová has held several significant roles throughout his career. He served as an Analista Backend at Mercado Libre in 2018. Additionally, he worked as a Desarrollador de Python at QReport in 2017 and as a Scrum Master and Python Developer at FDV Solutions between 2015 and 2017. Earlier positions include Project Automation Lead at CH2M HILL from 2012 to 2015 and Técnico de Proyecto at Tecnet S.A. from 2011 to 2012.

Educational Background

Fernando Collová completed his education at Instituto Pio IX, studying Tecnología/Técnico de electrónica industrial and achieving the Técnico en electrónica certification over a span of seven years from 2003 to 2010. He also studied Inglés at Instituto Cultural Argencitno Norteamericano (ICANA) and attained an Intermediate 4 level over three years from 2003 to 2006.

Contributions to Python Discipline at Endava

Within his role at Endava, Fernando Collová has been instrumental in promoting and implementing initiatives within the Python Discipline. He has managed internal projects, standardized Python knowledge according to seniority levels, and conducted multiple internal training sessions. Additionally, he has delivered talks on topics such as AsyncIO, Python packaging, data streaming, and the Global Interpreter Lock (GIL), contributing significantly to the knowledge base and skills of his colleagues.

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