Eevamaija Virtanen
Senior Data Engineer, Partner @ Invinite, Founder @ DataTribe, Co-Founder @ Helsinki Data Week
Eevamaija’s journey started in the skies as a flight attendant, followed by a long stretch in BPO project management and innovative business and product development. She then let her creative side lead in roles like music video director and photographer before diving into the world of data engineering. With this background, Eevamaija brings a down-to-earth, practical and highly curious approach to tackling data challenges and improving team communication. She’s all about continuous learning and building real, authentic connections - principles that have shaped her path in data engineering. Eevamaija believes in embracing imperfections, asking for help when needed, and keeping it real - because that’s what it really takes to succeed in this ever-changing field.
Sessions
Breaking into Data Engineering
Eevamaija Virtanen shares her personal journey into data engineering, offering practical advice for those looking to break into the field. From landing her first role to mastering essential skills, Eevamaija discusses the strategies that helped her transition into data engineering, despite coming from a non-traditional background. She’ll cover the key steps for building your skill set, overcoming challenges, and standing out to potential employers. This session is designed to provide you with actionable insights and a clear roadmap for starting your career in data engineering, filled with real-world examples and honest reflections.
Starts: 2:10 PM
Ends: 2:40 PM
The future of Data Engineering panel
Our "Future of Data Engineering" panel will explore the evolving landscape of data infrastructure and management in the era of big data and AI. Leading experts will discuss emerging trends such as data mesh architectures, real-time streaming analytics, and the convergence of data lakes and data warehouses. The panel will delve into advancements in cloud-native data platforms, serverless computing for data processing, and the role of machine learning in automating data pipelines. Attendees will gain insights into novel approaches to data governance, data quality management, and DataOps practices. The discussion will also cover the impact of edge computing on data engineering, strategies for handling unstructured and semi-structured data at scale, and the challenges of building ethical and privacy-preserving data systems. Join us to explore how data engineering is evolving to support the next generation of data-driven applications and AI-powered insights.
Starts: 2:40 PM
Ends: 3:30 PM