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12 resultsBuilding a Data Quality Framework
Dimensions of data quality, validation layers, and monitoring in production pipelines.
CI/CD Pipeline Design — From Commit to Production
Stages, gates, deployment strategies, and keeping pipelines fast.
API Testing Strategy — Unit, Integration, Contract, and E2E
Building a test pyramid that catches real bugs without slowing delivery.
Getting Started with dbt (data build tool)
Models, tests, documentation, and the dbt workflow for transforming warehouse data.
ETL vs ELT — Which Pattern Should You Use?
Understand the difference between Extract-Transform-Load and Extract-Load-Transform and when each fits.
DuckDB — Blazing Fast Local Analytics
When to reach for DuckDB instead of Spark, and how to use it effectively.
Materialised Views — When and How to Use Them
Incremental refresh, use cases, and implementation across Postgres, Snowflake, and dbt.
Testing Strategy for Data Pipelines
Unit tests, integration tests, data contract tests, and regression testing for pipelines.
Feature Flags — Safe Deployment and Gradual Rollout
Types of flags, implementation patterns, and avoiding flag sprawl.
Product Engineering — Service Overview
APIs, dashboards, and services delivered with tests, CI/CD, and observability from day one.
Implementing Data Lineage Tracking
Column-level lineage, tools, and why it is critical for debugging and compliance.
How long does a typical project take?
Timeline expectations from kick-off to launch.