You will get a custom Python ETL pipeline and MySQL database
Project details
If you are struggling with chaotic, unstructured data, messy CSVs, massive Excel files, or raw text data, I will build an automated data pipeline to clean and structure it all. I am a Data Engineer specializing in custom ETL (Extract, Transform, Load) pipelines using Python and MySQL. I don't just run basic macros—I architect clean, relational database schemas and write robust Python scripts to make your data secure, queryable, and ready for analysis.
My Core Pipeline Services:
Extract: Securely pull raw data from your CSV, JSON, Excel, or text files.
Transform: Deep clean using Python (Pandas) to handle missing values, remove duplicates, and normalize formats.
Load: Engineer an optimized MySQL relational database schema.
Visualize: Create professional charts using Matplotlib to uncover business trends.
I build scalable, reproducible pipelines. Whether you have 10,000 rows of sales data or millions of rows of inventory, I write the code that does the heavy lifting.
(Package Limits: Starter covers up to 100k rows, Standard up to 1M rows, and Advanced up to 5M rows).
My Core Pipeline Services:
Extract: Securely pull raw data from your CSV, JSON, Excel, or text files.
Transform: Deep clean using Python (Pandas) to handle missing values, remove duplicates, and normalize formats.
Load: Engineer an optimized MySQL relational database schema.
Visualize: Create professional charts using Matplotlib to uncover business trends.
I build scalable, reproducible pipelines. Whether you have 10,000 rows of sales data or millions of rows of inventory, I write the code that does the heavy lifting.
(Package Limits: Starter covers up to 100k rows, Standard up to 1M rows, and Advanced up to 5M rows).
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$10
|
Standard
$30
|
Advanced
$70
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 1 | 2 | 3 |
Number of Sources Mined/Scraped | 1 | 2 | 4 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $20
Additional Revision
+$5
Documentation
(+ 1 Day)
+$5Frequently asked questions
About MD Wasiful
Data Engineer | Python ETL Pipelines & MySQL Database Architecture
Kuala Lumpur, Malaysia - 3:48 pm local time
I am a Data Engineer specializing in building custom ETL (Extract, Transform, Load) pipelines using Python and SQL. I don't just run basic macros—I architect clean, relational database schemas and write robust Python scripts to clean your data so it is secure, queryable, and ready for analysis.
My Core Capabilities:
1. Data Extraction: Pulling from messy CSVs, JSON, Excel, and text files.
2. Data Cleaning & Transformation: Using Python (Pandas/SQLAlchemy) to handle missing
values, normalize text, remove duplicates, and structure messy data.
3. Database Architecture: Designing optimized MySQL relational databases to store your clean
data efficiently.
4. Data Visualization: Creating professional business dashboards and charts using Matplotlib to
uncover hidden trends.
Why work with me?
I focus on building reproducible, scalable solutions. Whether you have 10,000 rows of sales data or 5 million rows of scraped inventory, I write code that handles the heavy lifting so you don't have to.
Check out my portfolio below to see how I recently transformed a massive 150MB+ job market dataset into a clean SQL database and actionable visualizations!
Let’s chat about your data needs. Send me an invite to your job post, and we can figure out the best architecture for your project.
Steps for completing your project
After purchasing the project, send requirements so MD Wasiful can start the project.
Delivery time starts when MD Wasiful receives requirements from you.
MD Wasiful works on your project following the steps below.
Revisions may occur after the delivery date.
Data Assessment & Pipeline Design.
I will review your raw data, map out formatting anomalies, and design the optimal relational database schema.
Extraction & Deep Cleaning.
I will write custom Python (Pandas) scripts to clean missing values, remove duplicates, and standardize your data.