Senior Data & Analytics Engineer building AI-native data platforms in the agentic era.
I design and ship production-grade data systems — pipelines, warehouses, semantic layers, and the LLM-powered apps that sit on top of them. I work with agentic coding tools (Claude Code, Gemini CLI, Cursor, MCP servers) the right way: planning first, reviewing every diff, and treating AI as a force multiplier — not a substitute for engineering judgment.
🌍 Currently contributing to open-source projects in the climate & geospatial space — building tools that help researchers and communities make sense of planetary data.
🧠 What I'm focused on in 2026
- Building RAG and agentic systems on top of warehouse data (Snowflake + pgvector + LangGraph)
- Wiring MCP servers into internal data tools so analysts and agents can query governed data safely
- Shipping dbt + Airflow + Spark pipelines that feed both BI dashboards and LLM context windows
- Contributing to open-source data & geospatial tooling
- Writing about how data engineers should adapt to the agentic-coding era
- 👨🏫 Volunteer instructor — Learn 2 Code | Python for Beginners @ Free Education Ethiopia
- 🎓 B.Sc. Electrical & Computer Engineering, Addis Ababa University
- 💬 Ask me about: production LLM pipelines, dbt/Snowflake modeling, AWS data infra, agentic workflows, OSS contribution
- ⚡ Off-keyboard: chess ♟️, football ⚽, and the occasional video game 🎮
AI / Agentic Engineering
Modern Data Stack
Languages
Frameworks & Libraries
Cloud & Infra
Data Stores