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Credential Award Record

Khanh Xuan Vu, SBDE™
  • Digital Badge Awarded to: Khanh Xuan Vu
  • Name of the Credential: Senior Big Data Engineer SBDE™
  • Unique Credential Code: 7322745931
  • Credential Awarded By: Data Science Council of America (DASCA)
  • First Award Date: Feb 04, 2025
  • Credential Expiration Date: Feb 03, 2030

PROFESSIONAL CAPABILITY INFERENCES

The SBDE™ credential affirms advanced proficiency in architecting and optimizing enterprise-scale data engineering systems. Certified professionals demonstrate the ability to design, orchestrate, and secure complex data infrastructures, integrating both traditional and emerging technologies to deliver reliable, scalable, and business-aligned outcomes.

Earning the SBDE™ validates a professional’s readiness to:

  • Architect and implement end-to-end enterprise data pipelines, ensuring reliability, scalability, and performance optimization.
  • Design and manage modern data storage architectures that balance efficiency, cost, and accessibility.
  • Orchestrate and monitor complex data workflows, enabling resilient, observable, and automated operations.
  • Apply governance, security, and compliance frameworks to safeguard data integrity and trust.
  • Model and structure enterprise data systems aligned with organizational requirements and industry standards.
  • Build and manage real-time and streaming data solutions for time-sensitive decision-making.
  • Integrate AI/ML pipelines into production environments, ensuring readiness for advanced analytics and model deployment.
  • Incorporate generative AI and LLM operations into enterprise data strategies, advancing innovation in AI-driven solutions.

This certification demonstrates capability not only in advanced technical execution but also in strategic decision-making, governance, and leadership of mission-critical data operations.

PROFESSIONAL KNOWLEDGE AREAS

The SBDE™ exam evaluates applied expertise across domains essential for senior data engineers, including:

  • Data ingestion and transformation

  • Data storage and management

  • Data pipeline orchestration and monitoring

  • Data security and governance

  • Data modeling and architecture

  • Streaming data processing

  • AI/ML integration pipelines

  • Generative AI and LLM operations

About DASCA

The Data Science Council of America (DASCA) is the world’s foremost standards and credentialing body for data science professionals. Widely recognized for its pioneering, vendor-neutral frameworks, DASCA provides a rigorous structure for certifying expertise in data engineering, analytics, and data leadership. Through its globally benchmarked credentials, DASCA equips professionals and institutions to excel in the data-driven economy, advancing the frontiers of practice, governance, and leadership in data science worldwide.