Salem / Generalized case study

Analytics & reporting platforms

Reporting applications built across the entire data path: collection, normalization, analysis, and presentation. I connected source systems to database-backed dashboards that make operational information easier to use.

Sole builder · Data pipelines & full-stack development

PythonTypeScriptSQLAPIsScheduled processing

The problem

Metrics from separate systems need consistent definitions, traceable sources, and clear presentation before people can rely on them.

What I built

Built scheduled collection and normalization workflows, database-backed reporting, analysis features, and web dashboards. Worked across integration behavior, incomplete source data, and the distinction between aggregate and item-level reporting. Related applications are presented together here to avoid treating versions as unrelated products.

The result

Implemented integrated reporting applications that demonstrate data modeling, API integration, debugging, and ongoing system ownership. The work combines interface development with the integration and maintenance work underneath it.

Architecture / Generic illustration

How the pieces connect

  1. 01Source systems
  2. 02Collect + normalize
  3. 03Structured data
  4. 04Analysis
  5. 05Reporting interface

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