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You will get crawled images from image websites such as Pixabay, Unsplash, Pexels, etc.
Top Rated
Project details
š You will get many images from image websites such as Pixabay, Flickr, Pexels, Unsplash, etc, that serve your specific needs.
š Create tools to upload images on Free Cloud Storage (Firebase Storage).
š Create a Beautiful Website for free about showing these images if you need them.
š Create tools to upload images on Free Cloud Storage (Firebase Storage).
š Create a Beautiful Website for free about showing these images if you need them.
Data Tool
PythonWhat's included $25
These options are included with the project scope.
$25
- Delivery Time 2 days
- Number of Pages Mined/Scraped 10000
- Number of Sources Mined/Scraped 9999
- Number of Revisions 3
Optional add-ons
You can add these on the next page.
Additional Page Mined/Scraped
(+ 1 Day)
+$10
Additional Source Mined/Scraped
(+ 1 Day)
+$10
19 reviews
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ZB
Zach B.
Feb 2, 2026
Data pipeline engineer for political donor data scraping
Nghi is an incredible, top-tier data engineer working across Airflow and Dagster pipelines, productionizing SQL and Python, and working with various libraries like Pandas, etc. He's an excellent choice for long-term hourly contracts or short projects as well. Truly one of the best hires we've made.
JD
James D.
Jan 5, 2026
Website Data Scraping Specialist Needed
AZ
Alex Z.
Oct 29, 2025
Scrape Interactive Chart Data from deBridge.com
Highly recommend. Spotlight website display bug.
TI
Terry I.
Oct 28, 2025
Transcripts for audio series
Nghi did a great job and was collaborative with problem solving. I would hire him again.
PM
Pranav M.
Jun 21, 2025
LinkedIn Data Scraper Needed
About Nghi
Senior Data Engineer | Backend Engineer | Data Architect
100%
Job Success
Ho Chi Minh City, VietnamĀ - 2:33 am local time
Hi, Iām Nghi, a Senior Data Engineer and Data Architect with a strong backend foundation, now focused on building high-performance analytics platforms, explainable data pipelines, and production-grade cloud architectures.
I help companies transform unreliable, slow, or opaque data systems into scalable, well-documented, and business-trustworthy platforms.
š§ WHAT I SPECIALIZE IN
šļø Data Architecture & Platform Design
- Designing modern lakehouse & warehouse architectures
- dbt-first analytics engineering with testing, freshness & lineage
- Event-driven and batch hybrid pipelines
- Data quality frameworks & SLA monitoring
- Customer-facing data explainability systems
Tools:
dbt, Dagster, Airflow, Spark, Kafka, Snowflake, BigQuery, Redshift, PostgreSQL, DuckDB, ClickHouse
ā” Database Performance Engineering
- If your queries are slow, costs are high, or dashboards lag, This is my zone
- Query plan analysis & index strategies
- Warehouse cost optimization (Snowflake, BigQuery, Redshift)
- OLTP & OLAP performance tuning
- High-concurrency workload design
š Reverse ETL & Operational Analytics
- Syncing analytics back to CRMs & internal tools
- Building real-time metrics pipelines
- Feature-store style transformations
š·ļø Enterprise-grade Web Data Extraction
- I donāt just scrape pages, I build durable data acquisition systems:
- Complex ASP.NET, JS-heavy, authenticated & paginated systems
- Anti-bot bypassing & failure-recovery pipelines
- Headless browser automation + async scraping
- Real-estate, finance, campaign-finance & marketplace platforms
āļø Cloud Infrastructure
- AWS | Azure | GCP
- EMR / Dataproc / Glue / Dataflow / Synapse / BigQuery / Redshift
- Terraform-based deployments
- Cost-aware architectures
- Kubernetes + Dockerized data services
š§Ŗ What You Get Working With Me
āļø Production-ready pipelines
āļø Clean, testable dbt models
āļø Well-documented architecture diagrams
āļø Transparent data logic for non-technical stakeholders
āļø Systems that scale beyond MVP
āļø Honest advice and not over-engineering
š Ideal Projects
š Data warehouse migrations
š Broken pipelines that need debugging & stabilization
š Analytics platforms that lack trust or explainability
š Performance bottlenecks costing thousands per month
š Long-term data platform ownership
ā£ļø Why Clients Stay Long-Term
šClear communication
š Business-first thinking
š No black-box systems
š I build systems others can maintain
š»š³š»š³š»š³š»š³
If your data platform feels fragile, slow, or impossible to explain to customers, I can fix that.
Letās make your data system something you can confidently stand behind.
Steps for completing your project
After purchasing the project, send requirements so Nghi can start the project.
Delivery time starts when Nghi receives requirements from you.
Nghi works on your project following the steps below.
Revisions may occur after the delivery date.
Get client's requirements
Your requirements for the project are the first step I want to know so that we would understand better for this project.
Discuss about the project with them
Discussion of the project is necessary. It would make us understand the project more clearly and avoid any issues that happened during the implemetation.