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Technical Insights

Deep dives from real project experience. Each article is drawn from production engagements, not theoretical exercises.

All Data Engineering AI & ML Cloud Infrastructure
Data Engineering April 10, 2025

Data Engineering for Pharma: What's Different About Building Data Platforms for Regulated Industries

Building a data platform for a pharmaceutical company uses the same tools as any other industry — Databricks, Delta Lake, Terraform — but the constraints are fundamentally different. Data quality isn't a nice-to-have, it's a regulatory requirement. Audit trails aren't a feature, they're a condition of operating.

HealthcarePharmaData Quality
AI & ML April 8, 2025

Testing Agentic Systems: What We Learned Running 15+ E2E Scenarios

Unit testing an agent is easy — mock the LLM, assert the output. Testing a multi-agent system end-to-end is a different problem entirely. After building 15+ E2E test scenarios for a production agentic platform, here's what actually works and what doesn't.

Agentic AITestingMLflow
AI & ML April 2, 2025

Building an Agentic Compliance Platform with LangGraph and PostgreSQL Checkpointing

A technical deep dive into the architecture of an agentic AI compliance case processing platform we built for a European RegTech company. We cover the LangGraph supervisor pattern, PostgreSQL-based checkpointing for long-running workflows, and the MCP gateway for cross-system tool access.

LangGraphAgentic AIRegTech
Cloud Infrastructure March 25, 2025

Terraform Patterns for Multi-Region Databricks on AWS

Practical Terraform and Terragrunt patterns for deploying Databricks across multiple AWS regions. We cover the module hierarchy, Unity Catalog cross-region considerations, IAM role patterns, and the CI/CD pipeline that takes infrastructure provisioning from weeks to hours.

TerraformTerragruntAWS
Data Engineering March 10, 2025

How We Built a Config-Driven Data Quality Engine with Quarantine Tables

A deep dive into the architecture of a flexible, YAML-driven data quality engine we built for a UAE banking institution. The system routes failed records to quarantine tables for review while clean data flows forward, all without requiring code changes for new rules.

DatabricksDelta LakeData Quality
Data Engineering March 5, 2025

Medallion Architecture Isn't One Pattern — It's Five

Everyone says 'medallion architecture' like it's one thing. After implementing it across banking, manufacturing, retail analytics, and regulated financial services, the pattern looks different every time. The constants: bronze is raw, gold is business-ready, and silver is where all the real decisions happen.

Medallion ArchitectureDatabricksDelta Lake
Data Engineering February 18, 2025

Replicating a Data Platform Across 4 Manufacturing Domains

How we built a single data platform architecture and deployed it across four distinct manufacturing domains for a German conglomerate. The ParserFactory pattern, parameterized ADF pipelines, and Terraform IaC made it possible to maintain consistency while respecting domain-specific needs.

Azure Data FactoryDatabricksManufacturing
AI & ML January 22, 2025

Orchestrating 12 ML Models Daily for Retail Execution at Scale

Inside the architecture of an AI-driven sales execution platform that runs 12 ML models daily across 10,000+ retail outlets and 100,000+ SKUs. We cover the medallion architecture, OmegaConf-based model configuration, and the orchestration patterns that keep it all running on Databricks.

MLOpsDatabricksOmegaConf

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