Build a Usage Rating and Billing Pipeline with Python and PostgreSQL
Group: Use Case
Product Category: Cloud & Data Engineering
Sub Category: Data Platform Engineer
Solution Available
Source code, datasets, and other related files for the solution will be provided.
Prerequisites
About this Product
Cobalt Mobile needs a repeatable way to convert voice call detail records into billable charges, but today an analyst does it manually without proving how many records were read, loaded, or dropped — a revenue-assurance risk.
What you build
- Python ingestion pipeline: read daily voice usage CSV files into records; validate each against business rules (missing IDs, duplicates, invalid rate plans, malformed usage and timestamps).
- Rating and transformation: look up rate plans in PostgreSQL, round usage to billable minutes, compute charge amounts for valid records.
- Idempotent warehouse load: use PostgreSQL INSERT ... ON CONFLICT upsert to load rated records so re-running the same file never creates duplicates.
- End-to-end pipeline: ingest, validate, rate, load, and reconcile in a single orchestrated workflow with clear logging at each stage.
Skills you practise
- File ingestion and validation: parse CSV data, handle malformed values, apply layered business rules.
- ETL fundamentals: extract from CSV and PostgreSQL lookup, transform and rate, load idempotently into a warehouse.
- PostgreSQL and Python integration: connect with psycopg2, write parameterized queries, implement upsert logic.
Outcome
- Production-like pipeline: a tested, working end-to-end workflow with sample data, rejects output, and reconciliation report.
- Portfolio evidence: documented code and results proving hands-on ETL and revenue-assurance data engineering.
Interview Q&A Included
1 practice set bundled with this lab
-
Usage Rating and Billing Pipeline Assessment
Category: Data Engineering Subcategory: Data Engineer 29 questionsThis assessment checks what you learned while building the usage rating and billing pipeline for Cobalt Mobile. It is split into five groups: the business scenario, business and technical rules …
Resources
The complete brief for the usage rating and billing pipeline: the problem, the rules, the sample data and how success is measured.
- Business scenario: Cobalt Mobile turns daily call records into billable charges, but today an analyst does it by hand
- Ten numbered business and technical rules, from record validation to rounding up minutes and pricing each call
- Sample usage file, rate plan lookup data and the invalid rows your pipeline must reject
- Workflow, expected charges and edge cases for loading, rejects and reconciliation
- Eight acceptance criteria that define when the lab is complete
- Technology stack, project structure and a step by step implementation plan
Topics
Skills
Languages
English
Level
Beginner
Business Domain
Telecom Billing and Revenue Assurance
Project Mentors
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