Sample: Automated Reporting Pipeline
Replacing a manual weekly reporting process with an automated data pipeline
- Industry
- Professional Services
- Duration
- 6 weeks
- Services Provided
- Python Development
Sample: Automated Reporting Pipeline — hero image
Project Overview
Client Background
An operations team compiling weekly performance reports by manually exporting and combining data from several internal systems.
Business Goals
Automate the weekly reporting process and reduce manual data-wrangling time.
Project Scope
A Python data pipeline that pulls, cleans, and combines data on a schedule, with a small API for the team to trigger and review reports.
The Challenge
A significant part of one team member's week went into manually exporting spreadsheets from different systems, cleaning them, and combining them into a report — a process prone to copy-paste errors.
The Solution
We built a scheduled Python data pipeline that pulls from each source system automatically, applies the same cleaning and combination logic every time, and generates the report without manual intervention.
Development Process
Discovery
Understand goals, users, and constraints.
Research
Audit existing systems, competitors, and data.
Design
Wireframes and UI design aligned with the brand.
Development
Build the solution in focused, reviewable iterations.
Testing
QA across devices, edge cases, and performance.
Deployment
Ship to production with a low-risk rollout.
Support
Monitor, fix, and iterate after launch.
Features Delivered
Technology Stack
Results
Project Gallery
Pipeline monitoring view
Generated report output
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