Live · Business intelligence suite
Leveler
Shaping the architecture and building the backend of a data intelligence platform.
Leveler brings market, financial and public-sector intelligence into one suite. I designed its backend architecture, made the key technical decisions that shaped the product, and built the application services and APIs that power its products and analytics.
A live intelligence suite shaped from the backend up
Leveler brings together market analytics, forex and commodity analysis, FAAC allocation insights, and legal and compliance intelligence. I was responsible not just for implementing its backend, but also for shaping the architecture and guiding the major technical decisions behind it.
My contribution
- Led Leveler’s backend architecture and made core decisions about service structure, data models and API contracts.
- Designed and implemented the application services and APIs behind its financial, market and public-sector intelligence features.
- Defined how Leveler consumes curated datasets from DataBrew and exposes them to dashboards and other application features.
Architecture and technical decisions
A central design decision was drawing a clear boundary between the data platform and the intelligence application: DataBrew handles ingestion, cleaning and validation, while Leveler’s backend serves the product’s domain logic and application APIs. I shaped the integration boundary, API design and backend structure across the suite. The upstream data engineering is covered in the separate DataBrew case study.