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You will get Professional Data Cleaning & Preparation for Excel / CSV / Google Sheets
Project details
I developed a fast and scalable data cleaning and normalization pipeline capable of processing large datasets with complex formatting issues. The system handles inconsistent schemas, malformed JSON, missing values, and duplicates, delivering clean and reliable data ready for analytics.
Using Python, Dask, and Pandas, the pipeline applies parallelized transformations, dynamic cleaning rules, schema validation, and optimized Parquet output. It is fully configurable and easy to extend for new data sources or business logic.
The result is a robust solution that converts raw, messy data into high-quality, analytics-ready datasets for BI, forecasting, and data warehousing workflows.
Using Python, Dask, and Pandas, the pipeline applies parallelized transformations, dynamic cleaning rules, schema validation, and optimized Parquet output. It is fully configurable and easy to extend for new data sources or business logic.
The result is a robust solution that converts raw, messy data into high-quality, analytics-ready datasets for BI, forecasting, and data warehousing workflows.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$50
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | Unlimited |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $40
Additional Source Mined/Scraped
(+ 1 Day)
+$15Frequently asked questions
About Adrian
Senior Data Engineer | Python, SQL, ETL Pipelines, Data Cleaning, Auto
Lerma de Villada, Mexico - 1:24 am local time
I help businesses fix, clean and organize their data so they can make fast and accurate decisions.
I can help you with:
* Data cleaning & transformation (CSV, Excel, JSON, Parquet, APIs, SQL DBs).
* Building or fixing ETL/ELT pipelines.
* Python automation (Pandas, Dask, PySpark).
* SQL optimization & complex queries.
* Data validation, quality checks & schema normalization.
* Cloud data workflows (AWS, S3, Lambda, ECS)
Why clients work with me:
* 7+ years solving real data problems.
* Fast delivery, clear communication.
* Clean, reproducible and well-documented code.
* I deliver exactly what you need—no overengineering.
If you want your dataset clean, structured and ready for analysis, I can help.
Send me a message and I'll give you a quick plan and timeline.
Steps for completing your project
After purchasing the project, send requirements so Adrian can start the project.
Delivery time starts when Adrian receives requirements from you.
Adrian works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Review & Data Assessment
I analyze the raw dataset, understand the data structure, identify quality issues, and document the cleaning requirements.
Data Cleaning Rule Definition
I define custom rules for normalization, formatting, schema alignment, JSON correction, deduplication, and missing-value handling.