I work with data and systems.
I build platforms, pipelines, and the unseen structures that keep them alive.
What interests me most is reliability, clarity, and reducing the accidental chaos in technology.

• Data Platforms: Spark, Trino, Iceberg, Kafka, Airflow
• Infra & DevOps: Kubernetes, Terraform, ArgoCD, GitOps
• Data Engineering: SQL, Python, ETL/ELT, ClickHouse, Postgres
• Observability: Prometheus, Grafana, Alertmanager
• AI/LLM: Vector DBs, embeddings, RAG pipelines

• 🧰 Data Forge – a modern data stack playground
  

I share notes on Medium — about data engineering, infrastructure, and AI.
Not as lessons to follow, but as experiments worth recording.

• Build systems that survive without their builders.
• Prefer the simple to the ornate, the reliable to the clever.
• Seek clarity in complexity, not to deny it but to shape it.

💡 “The task is not to chase novelty, but to strengthen what endures.”