You will get End-to-End Food Order ETL Pipeline — MySQL · Python · Power BI

Anup K.Status: Offline
Anup K. Anup K.
5.0

Let a pro handle the details

Buy Database Optimization & Design services from Anup, priced and ready to go.
Anup K.Status: Offline
Anup K. Anup K.
5.0

Let a pro handle the details

Buy Database Optimization & Design services from Anup, priced and ready to go.

Project details

I will build you a production-style, end-to-end ETL data pipeline using MySQL and Python — the same architecture used by companies like DoorDash and Uber Eats to power their analytics.
You'll get a fully working pipeline that extracts your raw data, loads it into a staging database, transforms it using MySQL stored procedures, and organizes it into a star schema warehouse optimized for reporting. I'll also deliver an interactive dashboard so you can explore your data visually — no Power BI license required.
Every pipeline I build is idempotent (safe to re-run), includes an ETL audit log, and comes with automated data quality tests. You'll receive clean, documented code you can maintain and extend yourself — not a black box.
Whether you're a startup that needs its first data pipeline, a developer who wants to learn production ETL patterns, or a business that needs analytics on its order/transaction data, this project delivers real, industry-standard results.
Database Type
MySQL
What's included
Service Tiers Starter
$150
Standard
$350
Advanced
$700
Delivery Time 5 days 7 days 14 days
Number of Revisions
123
Number of Tables Added
4610
Schema Diagram
Permissions Setup
-
Import/Export Data
Admin Panel Setup
-
-
Optional add-ons You can add these on the next page.
Fast Delivery
+$50 - $150
Additional Revision
+$30

Frequently asked questions

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AG

Andrew G.
5.00
Jun 26, 2026
Python Developers for AI Productivity Research Study
Anup K.Status: Offline

About Anup

Anup K.Status: Offline
Data Analyst & Software Developer | Python, SQL, Tableau, Java
5.0  (1 review)
Madhyapur Thimi, Nepal - 2:37 am local time
I am a data analyst and software developer with a Master's degree in Computer Information Systems (CGPA 3.71) and hands-on experience delivering end-to-end analytics solutions. My core stack includes Python, SQL, Tableau, and Excel for data work, and Java, Spring Boot, and VB.NET for backend development.

My academic background includes published research on NLP and bias mitigation using BERT, giving me a strong foundation in both structured data analytics and machine learning fundamentals. I have built complete analytics pipelines — from raw data ingestion and cleaning to interactive dashboards — and developed backend systems for remote clients across multiple projects.

I am completing the Google Data Analytics Certificate (6 of 9 courses complete) alongside certifications in Python and cloud development on AWS, and I apply that knowledge practically across every engagement.

What I bring to your project:
• Data analysis and visualization using Python (Pandas, NumPy), SQL, and Tableau
• Backend development with Java, Spring Boot, and VB.NET
• Database design and querying across MySQL, MS SQL, and SQLite
• NLP and machine learning experience using Scikit-learn and HuggingFace Transformers
• Clear, professional communication and experience working with distributed international teams

I am detail-oriented, reliable, and committed to delivering work that is accurate and on time. If you are looking for a technically grounded analyst or developer who takes ownership of quality, I would welcome the opportunity to work together.

Steps for completing your project

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

Delivery time starts when Anup receives requirements from you.

Anup works on your project following the steps below.

Revisions may occur after the delivery date.

Requirements & Data Audit

Review your raw data files, understand your database setup, and define the business KPIs and reporting needs.

Build Staging Database & ETL Extract

Set up the MySQL staging layer, create tables, and load your raw data using Python ETL scripts with duplicate detection.

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