You will get clean and standardize your CSV or Excel data using Python
Project details
Is your CSV or Excel data full of duplicates, missing values,
inconsistent formats or messy columns slowing down your
analysis? I will clean it fast using Python and Pandas and
deliver structured, analysis-ready output — not manual Excel
work.
What sets this apart: I am a Data Engineer with production
experience processing automated data pipelines daily. Every
cleaning job gets engineering-grade accuracy — a reusable
Python script, clean output file and a full summary report
of every change made.
You get more than just a cleaned file. You get a Python
script you can rerun on new data anytime without paying
again. Most data cleaning freelancers just fix your file
manually — I build you something that works repeatedly.
I process up to 1 million rows efficiently. Duplicates
removed, missing values handled, dates standardized, column
names cleaned, multiple files merged — all documented.
Please message me before ordering so I can confirm your
file format and cleaning requirements. This ensures zero
surprises and perfect delivery first time.
inconsistent formats or messy columns slowing down your
analysis? I will clean it fast using Python and Pandas and
deliver structured, analysis-ready output — not manual Excel
work.
What sets this apart: I am a Data Engineer with production
experience processing automated data pipelines daily. Every
cleaning job gets engineering-grade accuracy — a reusable
Python script, clean output file and a full summary report
of every change made.
You get more than just a cleaned file. You get a Python
script you can rerun on new data anytime without paying
again. Most data cleaning freelancers just fix your file
manually — I build you something that works repeatedly.
I process up to 1 million rows efficiently. Duplicates
removed, missing values handled, dates standardized, column
names cleaned, multiple files merged — all documented.
Please message me before ordering so I can confirm your
file format and cleaning requirements. This ensures zero
surprises and perfect delivery first time.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$20
|
Standard
$60
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Database Loading (PostgreSQL/MySQL)
(+ 1 Day)
+$25Frequently asked questions
About Preetam
Data Engineer | Python | Airflow | Docker | PostgreSQL | ETL Pipelines
Kolkata, India - 4:48 am local time
automated ETL pipelines using Python, Apache Airflow, Docker and
PostgreSQL.
At my current role I design and maintain data pipelines that automate
business data workflows daily — containerized with Docker, orchestrated
via Airflow, and stored in relational databases.
━━━━━━━━━━━━━━━━━━━━━━━━
🔧 WHAT I BUILD FOR CLIENTS
━━━━━━━━━━━━━━━━━━━━━━━━
✅ ETL Pipelines — Extract data from APIs, transform and load into
PostgreSQL, MySQL or any database
✅ Airflow DAGs — Automated scheduling of complex data workflows
✅ Docker Containerization — Portable, reproducible pipeline environments
✅ dbt Transformations — Layered SQL transformations with automated testing
✅ Data Cleaning & Processing — Python-based cleaning of messy datasets
✅ API Integration — Connecting to REST APIs and loading data reliably
✅ Database Design — Schema design, query optimization, PostgreSQL/MySQL
✅ Excel/CSV Automation — Python scripts to automate repetitive data tasks
━━━━━━━━━━━━━━━━━━━━━━━━
💼 RECENT PROJECT HIGHLIGHTS
━━━━━━━━━━━━━━━━━━━━━━━━
→ Crypto ETL Pipeline: automated daily pipeline extracting live
market data from CoinGecko API → Python transformation →
PostgreSQL, orchestrated via Airflow, containerized with Docker
→ Customer Intelligence Platform: enterprise pipeline ingesting
from 3 sources (CRM, orders, logistics) → dbt 3-layer
transformation → customer churn signals and buying pattern
intelligence marts
━━━━━━━━━━━━━━━━━━━━━━━━
🛠️ CORE TECH STACK
━━━━━━━━━━━━━━━━━━━━━━━━
Languages: Python · SQL
Orchestration: Apache Airflow
Transformation: dbt-core
Infrastructure: Docker · Kubernetes
Databases: PostgreSQL · MySQL
APIs: REST APIs · JSON processing
━━━━━━━━━━━━━━━━━━━━━━━━
📊 DATA PROCESSING SERVICES
━━━━━━━━━━━━━━━━━━━━━━━━
For smaller, quicker projects I also offer:
✔ Data cleaning and standardization (Python/Pandas)
✔ CSV/Excel data processing and transformation
✔ Database migration and data loading
✔ Web scraping and data extraction
✔ Data validation and quality checking
I deliver clean, documented, production-ready work — not quick
and messy scripts. Every project comes with clear code comments
and handover documentation.
All portfolio projects are documented on GitHub —
feel free to ask and I'll share the link directly.
Available 30+ hours/week. Response time under 2 hours.
Steps for completing your project
After purchasing the project, send requirements so Preetam can start the project.
Delivery time starts when Preetam receives requirements from you.
Preetam works on your project following the steps below.
Revisions may occur after the delivery date.
Review your data file
I review your uploaded file, identify all data quality issues — duplicates, nulls, formatting problems — and confirm the cleaning scope before starting work.
Clean and transform data
I run Python and Pandas scripts to remove duplicates, fix missing values, standardize formats, merge files and apply any custom transformations you need.