You will get an automated Data Cleaning & Reporting Pipeline for CSV/Excel Files.
Project details
I deliver reliable data extraction, cleaning, and automation solutions that turn raw, messy data into clean, analysis-ready outputs. My approach focuses on accuracy, reproducibility, and efficiency—whether it’s fixing inconsistent Excel files, building ETL pipelines, or automating recurring reports. What sets me apart is a strong emphasis on clear requirements, clean logic, and scalable solutions that save clients time and reduce manual errors. You get structured data, transparent workflows, and results you can trust.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$30
|
Advanced
$65
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 1 day |
Number of Revisions | 1 | 2 | 3 |
Number of Sources Mined/Scraped | 1 | 2 | 5 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5
Additional Revision
+$5
Additional Page Mined/Scraped
(+ 1 Day)
+$10
Additional Source Mined/Scraped
(+ 2 Days)
+$5Frequently asked questions
About Daniel
Excel & Python Data Automation | ETL, Reports, Email Workflows
Nairobi, Kenya - 6:30 pm local time
What I offer:
Data Cleaning & Transformation: Turn messy CSV/Excel files into accurate, ready-to-use datasets.
Automation Pipelines: Python-based automation to generate reports, dashboards, and notifications.
Email Workflows: Automatically send reports to your team or clients, fully configured.
Optional Docker Deployment: Plug-and-play automation for recurring tasks and monitoring.
Why work with me:
Efficient and accurate results, minimizing manual effort
Clear, actionable outputs delivered professionally
Flexible solutions tailored to your business needs
Committed to building repeatable, reliable automation pipelines
If you want clean data, automated reports, and workflows that just work, I can set it up for you quickly and professionally.
Steps for completing your project
After purchasing the project, send requirements so Daniel can start the project.
Delivery time starts when Daniel receives requirements from you.
Daniel works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Review
Client submits files, data sources, and instructions. I review everything and confirm scope before starting.
Data Processing & Automation
I extract, clean, transform, and automate the data according to the agreed requirements and package scope.