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Daniel Vianna
Lead Software Engineer at daisee
Professional Background
Daniel Vianna is an accomplished data professional and lead software engineer with a wealth of experience in transforming complex data into actionable insights. Currently serving as a Lead Software Engineer at Daisee, Daniel has honed his skills in software development, data analysis, and project management while guiding numerous projects from the proof of concept stage to operational success. His unique approach melds technical expertise with an understanding of user requirements, enabling him to create effective and user-friendly data solutions.
Having previously held roles ranging from Software Engineer to Operations & Analytics Engineer at esteemed organizations like AusNet Services and the Victorian Centre for Data Insights, Daniel has built a reputation for delivering robust, fully tested data pipelines utilizing best practices such as Test-Driven Development (TDD), Keep It Simple, Stupid (KISS), Don't Repeat Yourself (DRY), and Minimum Viable Product (MVP) methodologies. His blend of technical skills, operational insight, and collaborative spirit allows him to seamlessly integrate with diverse teams, where he takes on the responsibility of discussing requirements with stakeholders and delivering results that meet their expectations.
Education and Achievements
Daniel's academic background is as impressive as his professional journey. He holds both a PhD and an MSc in Psychobiology from the prestigious Universidade de São Paulo, complemented by a BSc in Psychology from the renowned Pontifícia Universidade Católica do Rio de Janeiro. This unique combination of psychology and software engineering equips him with a distinct ability to understand the human element in data interpretation and utilization.
Throughout his career, Daniel has acquired a remarkable breadth of experience with specific expertise in data discovery, data modeling, backend and frontend development, as well as operational monitoring. His past roles at Bunnings, where he worked as a Data Analyst across various departments, including Human Resources, Health & Safety, and Marketing & Membership, underscore his versatility and ability to adapt to different analytical demands. As a Research Associate in Anatomy at UNSW Australia and a Research Assistant in Neuroscience at his undergraduate institution, he demonstrated a foundational capacity for rigorous scientific analysis, which naturally transitioned into his data-centric roles in industry.
Achievements
As a data enthusiast, Daniel is committed to the mantra of 'doing it right today to minimize unplanned work tomorrow.' His dedication to quality work is evident in the successful data projects he steers, where he emphasizes the importance of best practices in the development cycle. His strengths in functional programming and object-oriented programming empower him to design innovative solutions that remain maintainable and scalable over time.
Daniel actively engages with his team members, learning their conventions while also sharing his knowledge in a respectful and friendly manner. He believes strongly that collaboration and communication are pivotal in fostering innovation and achieving excellence in data management and software development. In a rapidly evolving field like data science, he remains informed about the latest trends and technologies, continuously seeking new ways to enhance his skills and benefit his projects and teams.
Summary
With a robust foundation in psychobiology coupled with extensive practical experience in software engineering and data analysis, Daniel Vianna stands out in the field of data transformation. His proactive approach, commitment to best practices, and collaborative spirit make him an invaluable asset to any organization. As he continues to evolve in his career, his passion for converting data into meaningful information positions him perfectly for future challenges and opportunities.