Live · Business intelligence suite

Leveler

Shaping the architecture and building the backend of a data intelligence platform.

Leveler financial and market intelligence website

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.

OUTCOME / CURRENT STATUS

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.

Tools and technologies

PythonFastAPIDjangoPostgreSQLRedisREST APIs
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