Data Engineering • Technology • Books
Practical notes on data, technology & books.
Building data platforms, exploring modern technologies, documenting engineering experiments, and sharing the books I read along the way.
Databricks
Data Observability
Building a Cost-Aware Data Freshness Framework in Databricks
OCSF
Performance & Optimization
Scaling OCSF Validation in Databricks
Trino + Ranger
Projects & Experiments
Trino + Apache Ranger on Kubernetes with Helm
Explore Data Engineering
Practical notes across the tools and technologies I work with and learn.
Databricks
Lakehouse architecture, data platforms,
performance and practical engineering.
Apache Spark
Spark SQL, transformations, performance
and practical data engineering.
Apache Airflow
Workflow orchestration, automation,
scheduling and operational lessons.
dbt
Transformations, analytics engineering,
modeling and data workflows.
From the Bookshelf
Books I've read, reviewed and remembered.
Learning
Certifications, courses and technology events that have shaped my learning journey.