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Delivery AnalyticsStar SchemaSQLOperations

Project Velocity

Amazon Delivery Performance Analytics

End-to-end delivery operations analytics on Amazon data. Models a star schema (fact_orders + 4 dimensions), runs a 7-script SQL pipeline with window functions and CTEs, and performs Python EDA covering on-time delivery rates, agent productivity rankings, weather/traffic impact on delays, and vehicle type efficiency.

Type
Analytics / BI
Category
Analytics & BI
Year
2025
Stack
Python · SQL
Project Velocity
At a Glance
Star
Schema design
7
SQL scripts
9+
KPIs tracked
100K+
Order records
What's Built

Key features & capabilities.

01

Star schema: fact_orders + dim_agents, dim_locations, dim_context_factors, dim_delivery_details

02

7-script SQL pipeline from DDL creation through analytical views

03

Window functions for agent productivity rankings, running totals, and lag/lead analysis

04

Weather and traffic impact analysis on delivery delay rates

05

Vehicle type efficiency comparison and distance-vs-delay correlation

06

Full business requirement documentation: BRD, stakeholder analysis, KPI definitions

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