David Parreira
About David Parreira
David Parreira is a DevOps Engineer with expertise in technologies such as GCP, Gitlab, and Docker. He has a strong educational background in computer science and has worked in various roles across multiple companies, including Bynder and Accenture.
Work at Bynder
David Parreira has been employed at Bynder as a DevOps Engineer since 2021. In this role, he focuses on implementing and maintaining DevOps practices to enhance the efficiency of development and operations. His responsibilities include the creation of CI/CD pipelines and automation processes, contributing to the overall performance of the company's cloud infrastructure.
Education and Expertise
David Parreira holds a Mestrado em Engenharia Informática from Universidade de Évora, which he completed in 2019. He also earned a Licenciatura em Ciências da Computação from Universiti Putra Malaysia in 2018. His educational background provides a solid foundation in computer science and engineering, which he applies in his current role and previous positions.
Background in DevOps
Before joining Bynder, David Parreira worked at Accenture as a Junior DevOps Engineer from 2019 to 2020. He also held a position at agap2IT Portugal as a Junior Consultant from 2018 to 2020 and worked at Deloitte as a Junior SAP Developer for a brief period in 2018. These roles contributed to his development of skills in cloud technologies and DevOps practices.
Technical Skills and Technologies
David Parreira is proficient in a variety of technologies and programming languages. He utilizes Google Cloud Platform (GCP), GitLab, Apache Beam, JMeter, Docker, Kubernetes, Pub/Sub, and Apache Kafka. He is experienced with databases including MongoDB, MySQL, BigTable, and BigQuery. His programming skills encompass Node.js, Java, and Python, which he occasionally uses for programming Big Data pipelines.
Projects and Contributions
In his current position, David Parreira has been involved in significant projects, particularly in the creation of CI/CD pipelines and automation through Cloud Functions as part of a Big Data project on GCP. His contributions enhance the operational efficiency and scalability of the systems he works on.