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Data Engineering on GCP: Building the Production Storage & Access Layer (Hands-On Lab)

A practical, end-to-end GCP data engineering lab covering Cloud Storage, BigLake external connections, partitioned and clustered BigQuery, materialized views, Time Travel, and authorized views.

#Data Engineering #GCP #BigQuery
Tharun Vempati
Tharun Vempati GCP Cloud Architect & DevOps Specialist
Sep 30, 2026 · 14 min read

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Question of the Week Week 39 · AI & Developer Workflows
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By 2027, what will software engineers spend most of their time doing?

As AI tools evolve from simple code autocomplete to autonomous agents, how will everyday engineering work transform?

Reviewing & testing AI-generated code
Reading AI pull requests, validating edge cases, and catching subtle hallucinations
System design & architecture
Designing data schemas, APIs, and writing precise specifications for AI agents to build
Writing core code by hand
Crafting mission-critical business logic where human accuracy cannot be compromised
Debugging production fires & outages
Tracking down complex incidents, performance bottlenecks, and multi-service edge cases
Other / Different perspective
Hold a different perspective for how developer workflows will evolve
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