You will get Python ETL Pipeline — CSV, JSON, XML & Excel to MySQL Database

Ashish K.Status: Offline
Ashish K.

Let a pro handle the details

Buy Data Entry & Cleaning services from Ashish, priced and ready to go.
Ashish K.Status: Offline
Ashish K.

Let a pro handle the details

Buy Data Entry & Cleaning services from Ashish, priced and ready to go.

Project details

🎉 LAUNCH OFFER — First 3 clients get 20% off.
Message me before ordering to claim your discount.

Is your data stuck in CSV files, Excel sheets, or JSON exports with no automated way to get it into your database? I build
clean, reliable Python ETL pipelines that extract, transform, and load your data into MySQL automatically.

I work as a full-time Data Engineer at a US-based analytics company, building production ETL pipelines daily — so every
script I deliver is based on real experience, not tutorials.

WHAT YOUR PIPELINE WILL DO:
✔ Extract from CSV, JSON, XML, and Excel files
✔ Clean and transform with Pandas or Polars — fix nulls, data types
✔ Load into MySQL via SQLAlchemy with upsert support
✔ Log every failed row to an error file — nothing lost

WHAT YOU RECEIVE:
✔ Python script (.py) — clean, commented, ready to run
✔ requirements.txt — install everything in one command
✔ README — plain-English setup instructions
✔ Free revision within 7 days of delivery

Tools: Python 3 · Pandas · SQLAlchemy · MySQL 8.0 · Polars
Data Tool
Python
What's included
Service Tiers Starter
$20
Standard
$45
Advanced
$80
Delivery Time 2 days 4 days 7 days
Number of Revisions
12Unlimited
Optional add-ons You can add these on the next page.
Additional file format (+ 1 Day)
+$10

Frequently asked questions

Ashish K.Status: Offline

About Ashish

Ashish K.Status: Offline
MySQL DB Designer & Python ETL Engineer | SQL | Pandas | SQLAlchemy
Karachi, Pakistan - 1:48 am local time
🎉 LAUNCH OFFER — First 3 clients receive 20% off.
Message me before ordering to claim your discount.

Is your database slow, messy, or built on spreadsheets? I design clean MySQL schemas and build Python pipelines that actually work — tested, documented, and delivered on time.

I'm a full-time Data Engineer at a US-based company (Biome Analytics, Oct 2021–present) with 4+ years working daily with MySQL, Python, ETL pipelines, and data validation at production scale.

━━━━━━━━━━━━━━━━━━━━━━━━━━━
🗄️ MYSQL DATABASE DESIGN
━━━━━━━━━━━━━━━━━━━━━━━━━━━
· Schema design from scratch
· ER diagrams (MySQL Workbench)
· Normalization to 3NF · Stored procedures & triggers
· Indexes & foreign key constraints
· Query optimization with EXPLAIN

━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔍 CUSTOM SQL QUERIES
━━━━━━━━━━━━━━━━━━━━━━━━━━━
· Common table expressions (CTEs)
· Window functions (RANK, LAG, NTILE)
· Multi-table JOINs
· Subqueries & correlated queries
· Views
· Stored procedures

MySQL · PostgreSQL · MS SQL Server

━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚙️ PYTHON ETL PIPELINES
━━━━━━━━━━━━━━━━━━━━━━━━━━━
· Extract: CSV, JSON, XML, Excel
· Transform and clean data with Pandas or Polars
· Load into MySQL via SQLAlchemy or mysql-connector
· Error logging & validation
· Debug and fix AI-generated Python and SQL scripts that aren't working correctly in your environment.
━━━━━━━━━━━━━━━━━━━━━━━━━━━
💼 MY BACKGROUND
━━━━━━━━━━━━━━━━━━━━━━━━━━━
My database knowledge isn't from tutorials or online courses. I studied from "Database System Concepts" by Silberschatz, Korth & Sudarshan — the same textbook used in university computer science programs worldwide — combined with 4+ years of daily hands-on experience as a full-time Data Engineer at a US-based analytics company.

At work I build and maintain production ETL pipelines, validate ingested data, debug ingestion code, and design MySQL schemas that handle real business data every day.

What I deliver on Upwork is built the same way — properly structured, tested against real data, documented, and maintainable long after the project ends.


Ready to fix your data problem? Message me with a brief description
and I'll respond with a clear plan within a few hours.

Steps for completing your project

After purchasing the project, send requirements so Ashish can start the project.

Delivery time starts when Ashish receives requirements from you.

Ashish works on your project following the steps below.

Revisions may occur after the delivery date.

Understand your data sources and target database

Review your files, column structure, and MySQL target. Confirm field mappings, data types, and any transformation rules needed before writing a single line of code.

Build and test the ETL pipeline

Write the Python script using Pandas for cleaning and transformation, and SQLAlchemy for loading into MySQL. Test with a sample of your actual data to catch edge cases early.

Review the work, release payment, and leave feedback to Ashish.