Anatomy of an End-to-End BI Pipeline: Airflow, dbt, DuckDB & Superset
A complete walkthrough of a production-style data pipeline we built for a five-store restaurant chain — incremental extraction to Parquet, a tested dbt warehouse on DuckDB, Airflow orchestration, and seven Superset dashboards. All open-source, all code, with screenshots of every layer.
Read articleStreaming Course Video on a Budget: HLS, R2 and a CDN
How we serve adaptive-bitrate course video for near-zero cost using ffmpeg, Cloudflare R2's free egress, and signed URLs at the edge.
Read articleCost Optimization in Cloud Data Warehouses: A FinOps Playbook
Snowflake, BigQuery and Databricks bills rarely explode overnight — they creep. Practical queries and settings to find idle compute, fix clustering, and stop paying for warehouses nobody is using.
Read articleBuilding and Scaling Real-Time Streaming Pipelines
Moving from nightly batches to event-driven architecture is a mindset shift, not just a tooling swap. Kafka vs. Redpanda, late-arriving data, and where Flink earns its complexity.
Read articleData Engineering for LLMs: Building Production RAG Pipelines
Every organization is bolting AI onto its products; few have infrastructure to feed enterprise data into models reliably. Parsing, chunking, metadata, and vector databases — the new ETL.
Read articleZero-Trust Data Governance: Automating Quality and Access in the Pipeline
Manual data quality checks and hand-managed permissions don't scale. Contracts enforced in the pipeline, observability that catches what tests can't, and RBAC as code with dbt.
Read articleTransitioning to Apache Iceberg: The Open Table Format Endgame
Snowflake, Databricks, AWS and Google all speak Iceberg now. What ACID on object storage, time travel, and hidden partitioning actually buy you — and how to migrate without downtime.
Read articleYour Dashboard Is Only as Good as Its Pipeline
Pretty charts on top of fragile spreadsheets erode trust fast. Why every serious dashboard project should start with an orchestrated, tested data pipeline.
Read articleSkillUp for the AI Age: A Practical Roadmap
AI won't replace developers — but developers who can build with data and AI will replace those who can't. A concrete learning path that starts with fundamentals.
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