Michael Leuer
← Back to home

Documentation & Technical Writing

Engineering write-ups, architecture overviews, and lessons learned from building data systems at scale.

September 15, 2025

Designing a Cloud-Scale Analytics Pipeline

A deep dive into the architecture decisions behind building a data pipeline that processes terabytes daily on Azure, from ingestion to serving.

Data PipelinesCloudArchitectureAzure
Read article

July 20, 2025

Lessons Learned: Migrating to Event-Driven Architecture

Practical insights from moving a batch-heavy data platform to an event-driven model — what worked, what didn't, and what we'd do differently.

ArchitectureEvent-DrivenDistributed Systems
Read article

May 10, 2025

Workflow Orchestration at Scale with Airflow

How we tamed 300+ data workflows with Apache Airflow — covering DAG design patterns, failure handling, and operational practices that actually scale.

Data PipelinesAirflowAutomationDevOps
Read article

March 8, 2025

Building AI-Powered Data Quality Checks

How we used machine learning to detect data quality issues before they reached production dashboards — architecture, model choices, and operational results.

AIData QualityMachine LearningData Pipelines
Read article

January 22, 2025

Architecture Patterns for Multi-Tenant Data Platforms

Practical patterns for building data platforms that serve multiple teams and use cases without turning into an unmaintainable monolith.

ArchitectureCloudData PlatformsMulti-Tenant
Read article

© 2026 Michael Leuer. All rights reserved.