You will get an automated ETL pipeline for cleaning and transforming your data
Project details
I clean, organize, and transform your raw data into a reliable, analysis-ready dataset. Whether you need duplicates removed, formatting fixed, columns standardized, multiple files merged, or a full automated workflow, I’ll build a clean ETL pipeline using Python & Pandas.
You’ll receive a properly cleaned dataset, consistent structure, and — if needed — a reusable automation script that repeats the entire process for future updates. Fast delivery, clear communication, and high-quality results guaranteed.
You’ll receive a properly cleaned dataset, consistent structure, and — if needed — a reusable automation script that repeats the entire process for future updates. Fast delivery, clear communication, and high-quality results guaranteed.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$40
|
Standard
$70
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 0 | 0 | 0 |
Number of Pages Mined/Scraped | 5 | 15 | 30 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $30
Additional Revision
+$10
Additional Page Mined/Scraped
(+ 1 Day)
+$3
Additional Source Mined/Scraped
(+ 1 Day)
+$10Frequently asked questions
About Blessing
Data Engineer | ETL, Automation & Data Cleaning (Python/SQL)
Abuja, Nigeria - 5:28 am local time
My recent projects include:
✔ ETL Pipelines – multi-source ingestion, cleaning, validation, and error handling
✔ API Automation – collect data automatically on a schedule
✔ Data Cleaning Pipelines – fix formatting, remove duplicates, standardize datasets
✔ Insight Generators – automated PDF reports with charts, summaries, and insights
✔ Dashboards & Visualizations – Python, Pandas, Matplotlib
✔ AI-Assisted Workflows – using AI tools to speed up delivery while keeping accuracy high
Tools:
Python, SQL, Pandas, Matplotlib, APIs, JSON, Automation, GitHub, Jupyter Notebook
My approach is simple:
Turn messy data into clarity — and automate everything possible.
I communicate clearly, deliver quickly, and make sure your workflow is smooth and scalable.
Send me a message about your project — I reply fast.
Steps for completing your project
After purchasing the project, send requirements so Blessing can start the project.
Delivery time starts when Blessing receives requirements from you.
Blessing works on your project following the steps below.
Revisions may occur after the delivery date.
Review Your Data
I will review your dataset, confirm requirements, and identify issues such as duplicates, formatting errors, missing values, or inconsistencies.
Cleaning & Transformation
I will clean, standardize, and transform your data according to your selected package. This includes validation, formatting fixes, merging files, and preparing a structured dataset.