How I went from expired AWS certs to three active Google Cloud certifications in 20 months: skill badges as practice, what each exam tests in 2026, and how each one fed my projects.

Four courses in 2026 on system architecture, models, MBSE and tradespace exploration, and how they changed the way I design data platforms.

Vlad Khononov's Learning Domain-Driven Design is a software architecture book, but its ideas about subdomains, bounded contexts and ubiquitous language changed how I design data platforms.

What Joe Reis and Matt Housley's Fundamentals of Data Engineering taught me, and where its lifecycle and undercurrents show up in my own platforms.

How I use the BMAD Method across two projects, from Copilot chat modes in v6.0 to skills-based Claude Code in v6.13, and what adversarial reviews caught before I wrote code.

From code in shared drives and manual deploys to Terraform-everything: the IaC lessons I learned across five projects, from service-account keys to keyless CI and a single config contract.

How I built a lakehouse on GCP with PySpark, Apache Iceberg, BigLake, dbt and Terraform, and why I'm rebuilding it config-first for healthcare data.

Design and progress of an agentic PDF ingestion pipeline on Google ADK and Gemini, with Terraform and GKE Autopilot.

Kafka, Flink, Spark, Airflow, MLflow and MinIO on Kubernetes, deployed first with Ansible and then with Flux GitOps.

Deploying a BigQuery data-science agent with a real chat UI, Google SSO, TLS and keyless CI/CD on GKE Autopilot with Terraform.