Women in Data Engineering
Join us for an in-depth technical discussion with six accomplished women data engineers who are architecting the backbone of modern data-driven organizations. This 60-minute session brings together specialists from healthcare, retail, cloud platforms, and enterprise data systems to share their technical approaches to solving complex data engineering challenges.
Our panelists bring diverse expertise across the technical spectrum - from optimizing multi-terabyte data pipelines and implementing CDC-based architectures to designing cloud-native data platforms that drive significant business outcomes. With combined experience spanning AWS, GCP, Azure, and tools like Spark, Databricks, and Apache Iceberg, they'll provide practical insights for both emerging and established data professionals.
What You'll Learn:
Domain-Specific Technical Solutions: Discover specialized approaches for healthcare compliance pipelines, retail real-time analytics, and optimizing cloud data architectures
Performance Engineering: Technical strategies that have achieved measurable results, including how to design systems that move from batch to real-time with minimal latency
The Engineer's Technical Toolkit: Practical progression from foundational skills (SQL/Python) to advanced distributed systems design, with guidance on specialization vs. generalization
Business Impact Focus: How technical decisions in data engineering directly influence organizational outcomes, cost optimization, and scalability
Featured Technical Experience:
Our panelists have implemented solutions that delivered concrete business results, including:
Clinical trial data pipelines that maintain regulatory compliance while enabling advanced analytics
Multi-terabyte data processing optimizations that reduced ETL times from hours to minutes
Cloud migration strategies that significantly reduced storage costs while improving query performance
Real-time data architectures designed for petabyte-scale operations
Who should join?
This technical session is ideal for data engineers, architects, and technology leaders looking to enhance their understanding of modern data engineering practices and career development pathways in this rapidly evolving field.