Denis IL
I design and build data foundations that turn trusted analytics into intelligent, autonomous systems.
Started as a data analyst — learning what real business questions look like when they arrive as a Slack message at 9am. One thing became obvious quickly: analysis is rarely the bottleneck. The data infrastructure underneath almost always is. I began rebuilding it — writing the pipelines, modeling the logic, automating the reports. The shift from analyst to platform engineer wasn't planned. It was the natural answer to a problem that kept repeating.
True Gamers
Data Analyst
Data Analyst
SQL · metrics · dashboards · business context
Analytics Engineering
dbt · semantic layers · data modeling · governance
Data Platforms
DWH architecture · ClickHouse · Iceberg · Airflow
AI-Native Systems
LLM reasoning · autonomous agents · decision intelligence
Data Analyst
SQL · metrics · dashboards · business context
Analytics Engineering
dbt · semantic layers · data modeling · governance
Data Platforms
DWH architecture · ClickHouse · Iceberg · Airflow
AI-Native Systems
LLM reasoning · autonomous agents · decision intelligence
Reliable analytics starts with reliable data.
Every AI system is only as trustworthy as the data foundations beneath it.
Automation scales decision making.
The goal isn't reporting. It's removing the human from the feedback loop entirely.
AI requires trustworthy data foundations.
LLMs don't fix bad data. They amplify it. Build the foundation first.
Deepening expertise in the next layer of the stack:
Building the data stack
for AI-native intelligence.
The next generation of analytics systems won't just visualise data — they'll reason over it, act on it, and close the feedback loop autonomously. I'm building toward that future: AI-native systems that combine governed data platforms, semantic layers, and autonomous AI agents into a single, coherent stack.
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