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Data Engineering · Internship

FP&A FINANCIAL DASHBOARD

Built at Premier, unified financial and operational datasets from multiple sources. Automated monthly reporting, eliminating 15+ hours of manual work per cycle.

Engineered a unified FP&A application at Premier Early Childhood Education Partners that consolidates financial and operational data from disparate sources into a single source of truth. Automated recurring monthly reporting workflows and built interactive Power BI dashboards, eliminating over 15 hours of manual work per reporting cycle and improving decision-making speed for leadership.

Role
Data engineering intern
Challenge
Financial and operational reporting depended on disconnected sources and repeated manual reconciliation.
Outcome
Eliminated more than 15 hours of manual work from each monthly reporting cycle.

Decisions

  • Normalize inputs into a shared reporting model
  • Automate recurring transformations
  • Design dashboards around leadership decisions

Architecture

  1. Source systems
  2. Python and SQL transforms
  3. Snowflake model
  4. Power BI semantic layer
  5. Leadership reporting

What changed my thinking

  • A trusted definition is more valuable than a clever chart
  • Data quality checks belong inside the pipeline
PythonSQLPower BISnowflakeREST API
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