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DataFramed
#209 Effective Data Engineering with Liya Aizenberg, Director of Data Engineering at Away
May 23, 2024
25:31
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Liya Aizenberg, Director of Data Engineering at Away, discusses building successful data teams, fostering trust and collaboration, aligning data projects with business goals, and promoting proactive decision-making. She emphasizes the importance of technical skill sets, knowledge transfer, upskilling, and diversity in tech. The episode explores effective team attributes, measuring ROI in data projects, incremental project management, adopting agile methodologies, and evolving data engineering for generative AI.
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Quick takeaways
- Building a successful data engineering team requires fostering trust, collaboration, and continuous learning.
- Effective data engineering teams prioritize agility, adaptability, and focus on driving value for the organization.
Deep dives
Importance of Focusing on Business-Driven Ideas in Data Teams
Creating a conducive environment where data team members feel empowered to innovate is essential. However, it is equally crucial to ensure that the ideas generated align with the business objectives and deliver tangible value. Emphasizing a results-driven approach helps in maintaining focus on impactful outcomes, avoiding wasteful endeavors. Striking a balance between experimentation and practicality is key, aiming for innovation that drives value.
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