Eduardo Haddad Di Nardo
About Eduardo Haddad Di Nardo
Eduardo Haddad Di Nardo is a Data Engineer at SWIFT in London, England, with extensive experience in data engineering and software development. His career includes roles at various organizations in Brazil, where he worked on projects involving data enrichment, machine learning, and continuous integration.
Work at SWIFT
Eduardo Haddad Di Nardo has been employed at SWIFT as a Data Engineer since 2021. He has worked in this capacity for three years in London, England, United Kingdom. In his role, he utilizes Docker and Jenkins for containerization and continuous integration. He has also contributed to data enrichment processes using Elasticsearch and Airflow, and has developed machine learning models for anomaly detection.
Previous Employment Experience
Before joining SWIFT, Eduardo held several positions in the technology and cultural sectors. He worked as a Data Engineer at yHub for four months in 2020, and prior to that, he served as a Software Engineer at Agente Imóvel for one year from 2019 to 2020. His earlier experience includes a role as a Full-stack Developer at Associação Cultural Videobrasil from 2013 to 2017, and as an Assistant Producer at Museu da Imagem e do Som de São Paulo from 2009 to 2011.
Education and Expertise
Eduardo completed his undergraduate studies in Computer Systems Analysis at FIAP, where he studied from 2016 to 2018. He furthered his education by obtaining a postgraduate degree in Data Science from Insper Instituto de Ensino e Pesquisa from 2019 to 2020. His educational background provides a strong foundation for his expertise in data engineering and machine learning.
Technical Skills and Projects
In his professional roles, Eduardo has gained experience in creating unit and integration tests for data engineering projects. He has worked with various technologies and tools, including Docker, Jenkins, Elasticsearch, and Airflow. His responsibilities have included developing machine learning models for anomaly detection, showcasing his skills in both data engineering and machine learning engineering.
Early Career Background
Eduardo began his career in the cultural sector, where he worked as a Communications Assistant at Galeria Nara Roesler for seven months in 2012. His early experiences provided him with a diverse background before transitioning into technology-focused roles, including his work at CTI Consultores Associados as a Data Engineer in 2020.