You will get Data Extraction / Data Analysis
Rising Talent
Rising Talent
Project details
You will get reliable, clean, and well-structured data extracted from websites or APIs using Python-based scraping and automation. I specialize in turning messy, unstructured web data into accurate, analysis-ready datasets you can immediately use for reporting, analytics, or business decisions.
With strong experience in Python, SQL, ETL pipelines, and data engineering, I don’t just scrape data—I ensure it is validated, cleaned, and delivered in a format that fits your workflow (Excel, CSV, JSON, database, or dashboard-ready). I handle pagination, dynamic content, authentication, and large-scale scraping with care for performance and data accuracy.
Whether you need a one-time data pull or a scalable scraping solution, I focus on clear communication, reliable delivery, and high-quality results that save you time and effort.
With strong experience in Python, SQL, ETL pipelines, and data engineering, I don’t just scrape data—I ensure it is validated, cleaned, and delivered in a format that fits your workflow (Excel, CSV, JSON, database, or dashboard-ready). I handle pagination, dynamic content, authentication, and large-scale scraping with care for performance and data accuracy.
Whether you need a one-time data pull or a scalable scraping solution, I focus on clear communication, reliable delivery, and high-quality results that save you time and effort.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$60
|
Standard
$200
|
Advanced
$1,400
|
|---|---|---|---|
| Delivery Time | 6 days | 10 days | 25 days |
Number of Sources Mined/Scraped | 1 | 3 | |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $300
Additional Source Mined/Scraped
(+ 4 Days)
+$200
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NL
Nick L.
Jan 16, 2026
Performance / Revenue Analyst (Payments & Traffic)
About Wai Yong
Data Engineering | Data Pipeline | Generative AI | ETL
Petaling Jaya, Malaysia - 9:42 pm local time
Data Engineer specializing in Amazon Redshift, ETL pipelines, and scalable analytics workflows.
I help businesses transform raw data into clean, reliable, analytics-ready datasets using Python, SQL, dbt, Airflow, and AWS.
My focus is building production-grade pipelines that are fast, maintainable, and designed for long-term scale.
Core expertise:
• ETL/ELT pipeline development
• Amazon Redshift warehouse design and optimization
• dbt data modeling
• Airflow workflow orchestration
• AWS-based data architecture
• BI-ready and ML-ready dataset preparation
Tech stack:
Python, SQL, dbt, Apache Airflow, Amazon Redshift, AWS Lambda, S3, Athena, BigQuery, Snowflake, PostgreSQL, MLflow, Power BI, Looker
If you need a clean, scalable, and reliable data workflow, I can help.
Steps for completing your project
After purchasing the project, send requirements so Wai Yong can start the project.
Delivery time starts when Wai Yong receives requirements from you.
Wai Yong works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review
Client purchases the project and shares website URLs, data fields, format, and rules.
Scraping & Extraction
I build and run the Python scraping logic (handling pagination, dynamic pages, etc.).