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Designing end-to-end data ecosystems that turn raw events into reliable insights and operational leverage.
Most teams don't suffer from a lack of data, they suffer from a lack of structure. As a data ecosystem designer, my work starts with understanding how data is created, transformed, and consumed across your business. From there, we design the models, pipelines, and platforms that make that data trustworthy, reusable, and easy to work with.
This means defining how sources land in your warehouse, how transformations are modeled, and how analytics, applications, and operations tap into the same consistent layer of truth. we focus on clear lineage, predictable patterns, and a stack that balances power with maintainability—whether that's Snowflake, dbt, Airflow, or other modern tools.
The goal isn't just to “get data in.” It's to create a data ecosystem that your teams can rely on for reporting, automation, product features, and decision-making without constantly wondering what's accurate or how things are wired together.
“A strong data ecosystem turns scattered events into a single, dependable story about your business.”
When models, pipelines, and platforms work together, data stops being noisy and starts becoming a strategic asset.
If you're wrangling scattered pipelines, conflicting reports, or an underused warehouse, we can design a data ecosystem that supports your next stage of growth.
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