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You will get Data Cleaning & Transformation for CSV, Excel, JSON and More
Project details
My project delivers fast, reliable and professional data cleaning focused on accuracy and consistency. Unlike generic data entry services, I use advanced Python and data engineering techniques to detect errors, standardize formats, validate schemas and prepare clean, analysis-ready datasets. You get high-quality results, clear communication and a smooth delivery process.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 0 | 0 | 0 |
Number of Sources Mined/Scraped | 0 | 0 | 0 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $60
Additional Revision
+$20
Data Validation Report (PDF)
+$20
Python Automation Script
(+ 1 Day)
+$80
Format Conversion (CSV ↔ Excel ↔ JSON ↔ Parquet)
(+ 1 Day)
+$20Frequently asked questions
About Adrian
Senior Data Engineer | Airflow, dbt, PostgreSQL | ETL & Data Warehouse
Lerma de Villada, Mexico - 9:59 pm local time
I specialize in improving existing data platforms where pipelines are slow, fragile, difficult to maintain, or becoming a bottleneck for analytics.
I can help you with:
• Apache Airflow DAG development, troubleshooting and optimization
• ETL/ELT pipeline design and incremental data ingestion
• dbt architecture, models, testing and data quality
• PostgreSQL query optimization and performance troubleshooting
• Data warehouse architecture and dimensional modeling
• Python data pipelines and API/database integrations
• Schema evolution, validation and automated quality checks
• CI/CD and testing for data pipelines
Recent production work includes:
• Designing maintainable Landing → Refined → Serving data architectures
• Migrating legacy ETL workloads to modular Airflow + dbt pipelines
• Building incremental, full-refresh and date-range ingestion strategies
• Diagnosing slow PostgreSQL queries using EXPLAIN ANALYZE and indexing strategies
• Optimizing analytics workloads while validating result parity before migration
I focus on solving the root cause—not just patching the immediate failure.
I work especially well with teams that prefer asynchronous, written communication, clear technical documentation and Git-based workflows.
If you have an unreliable Airflow DAG, slow SQL query, difficult-to-maintain ETL pipeline or a data warehouse that needs restructuring, send me the problem and I’ll help you determine the best next step.
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 Received
You send me your dataset, instructions, and desired output format.
Initial Data Assessment
I scan your file to identify errors, inconsistencies, missing values, and formatting issues.