// INITIALIZING PIPELINES...

Turning Raw Data into
Actionable Insights

I build the engines that power modern AI. Specializing in high-throughput ETL pipelines, Vector RAG systems, and Autonomous Agent workflows.

Core Competencies

Data Engineering

Designing robust ELT/ETL architectures using Airflow, DBT, and Spark. Ensuring data quality and lineage for downstream AI consumption.

AI Integration

Building RAG (Retrieval-Augmented Generation) systems with Vector Databases. Fine-tuning LLMs for specific domain tasks.

Process Automation

Replacing manual spreadsheet workflows with Python scripts and autonomous agents. If you do it twice, I automate it.

The Engine Room

Tools and technologies I use to bend data.

>> print(stack.current_status)

  • Python
  • SQL
  • Ollama
  • Docker
  • K8s
  • Terraform
  • AWS
  • Azure
  • Airflow
  • Kafka
  • DBT
  • Snowflake
  • TensorFlow
  • Pandas
  • LangChain
  • Pinecone
  • Git
  • n8n

Engineering Logs

Notes on architecture, code, and developer workflows.

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Ready to Automate?

Whether you need a custom RAG pipeline or a complete data infrastructure overhaul, let's build systems that scale.

© 2026 Michal Dyzma.