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SE Radio 696: Flavia Saldanha on Data Engineering for AI

SE Radio 696: Flavia Saldanha on Data Engineering for AI

Software Engineering Radio - The Podcast for Professional Software Developers vor 9 Monaten

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1:14:25

Flavia Saldanha, a consulting data engineer,
joins host Kanchan Shringi to discuss the evolution of data
engineering from ETL (extract, transform, load) and data lakes to
modern lakehouse architectures enriched with vector databases and
embeddings. Flavia explains the industry's shift from treating
data as a service to treating it as a product, emphasizing
ownership, trust, and business context as critical for
AI-readiness. She describes how unified pipelines now serve both
business intelligence and AI use cases, combining structured and
unstructured data while ensuring semantic enrichment and a single
source of truth. She outlines key components of a modern data
stack, including data marketplaces, observability tools, data
quality checks, orchestration, and embedded governance with
lineage tracking. This episode highlights strategies for
abstracting tooling, future-proofing architectures, enforcing
data privacy, and controlling AI-serving layers to prevent
hallucinations. Saldanha concludes that data engineers must move
beyond pure ETL thinking, embrace product and NLP skills, and
work closely with MLOps, using AI as a co-pilot rather than a
replacement.

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