Hello, I’m Metin Karakuş

I’m a Data Professional working on data engineering and analytics platforms, with a strong focus on designing scalable, maintainable, and long-term sustainable modern data architectures.

I’ve worked with companies in finance, telecom, and large-scale enterprise environments, where regulatory constraints, security requirements, and operational reliability are critical.
Over the years, I’ve taken increasing ownership not only of building data systems, but also of leading teams, defining architecture standards, and driving platform evolution in multi-cloud environments.

What I Work On​

I usually create value across the following areas:

• 🏗 Modern Data Platforms

  • Snowflake, ClickHouse, BigQuery
  • dbt, Dagster, Airflow, AWS Glue

• 🔄 Data Pipelines & Streaming

  • Building reliable ELT/ETL pipelines at scale
  • Kafka, Debezium, Spark, PySpark
  • CDC-based architectures and real-time data flows

• ☁️ Cloud & Kubernetes

  • AWS & Azure data platforms
  • Kubernetes deployments, GitOps, and CI/CD practices
  • Cost optimization and platform observability

• 📊 Analytics & BI

  • Semantic layers and self-service BI
  • Power BI, Tableau, data modeling strategies

Why This Site Exists​

This site is my personal knowledge base, where I share what I’ve learned through real projects:

• based on production experience, not theory
• without turning everything into “tool X vs tool Y” debates
• focusing on why a certain decision was made, not just what was built

Here you’ll find:

• architectural decision records (ADR),
• production learnings and post-mortems,
• tool and approach comparisons,
• and occasional “things I wish I knew earlier” notes.

My Approach​

Tools change. Good architecture lasts.

• I prefer simple and understandable solutions
• I actively avoid over-engineering
• I focus on making systems clear first, then scalable and robust

Let’s Connect​

If you’d like to discuss data platforms, architecture decisions, or real-world trade-offs, feel free to reach out.