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#data-engineering

Tutorials, decisions, and reflections from my journey into data engineering.

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Showing 1–5 of 6 posts

April 26, 2026Building an Airflow + S3 Pipeline That Runs Entirely on Your LaptopHow I built a production-style Airflow 3.2.1 data ingestion pipeline with S3, without needing a single AWS credential, thanks to LocalStack and Docker.
data-engineeringairflowdockers3localstack
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April 23, 2025How the Tableau Metadata API Saved Me from Manual Impact AnalysisWhen upstream changes threatened dozens of dashboards, the Metadata API turned hours of manual tracing into a single query.
data-engineeringtableauimpact-analysis
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April 22, 2025Parquet and Iceberg: Why I Stopped Treating My Data Lake Like a FolderColumnar file formats and table abstractions turned my messy S3 data lake into something I can actually query and trust.
data-engineeringparqueticebergdata-lake
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April 21, 2025Redshift Taught Me That Storage Format Matters More Than Query LogicWhy moving from row-based to columnar storage in Redshift was the single biggest performance leap I've seen.
data-engineeringredshiftaws
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April 20, 2025What dbt Actually Does for Youdbt didn't just change how I write SQL — it changed how I think about data transformations.
data-engineeringdbt
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© 2026 Ridzwan Haron