You will get web scraping, data mining, automation of any website using python
Project details
Greetings,
Huzaifa Here.
I can help you with web scraping, web crawling, data scraping, or data extraction from any website.
Automate your task
Language: Python
Framework: Scrapy, Selenium, Splash, BS4
Output Format: GSheets, Excel, CSV, XML,JSON
Security: IP and User agent rotation
100% Accuracy
Requirements:
Link of the website.
List of required Fields (Try to highlight them in a screenshot).
I can send you the script which you can run yourself on your computer or deploy on a cloud server.
*** Please discuss the project before placing an order ***
Huzaifa Here.
I can help you with web scraping, web crawling, data scraping, or data extraction from any website.
Automate your task
Language: Python
Framework: Scrapy, Selenium, Splash, BS4
Output Format: GSheets, Excel, CSV, XML,JSON
Security: IP and User agent rotation
100% Accuracy
Requirements:
Link of the website.
List of required Fields (Try to highlight them in a screenshot).
I can send you the script which you can run yourself on your computer or deploy on a cloud server.
*** Please discuss the project before placing an order ***
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$65
|
Advanced
$105
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Pages Mined/Scraped | 3 | 3 | 4 |
Number of Sources Mined/Scraped | 1 | 1 | 1 |
Number of Revisions | 0 | 1 | 1 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $40
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JA
JW A.
Jul 25, 2021
Color coded alert app for multiple users
About Huzaifa
Sr Data Engineer | ETL & Data Pipelines | Azure, AWS, GCP | Databricks
Lahore, Pakistan - 10:52 pm local time
Worked on:
- Data pipelines streaming IoT telemetry from 500+ locations into cloud data warehouses
- High-frequency ETL pipelines processing millions of events daily through Apache Kafka and Apache Airflow
- 700TB+ enterprise data migration to Azure Synapse with dbt and PySpark
- Snowflake and dbt data warehouse builds for aerospace and gaming clients
- OCR and document data extraction pipelines using Azure Document Intelligence and AWS Textract
- Data quality gateways and data warehouse management across 26 European markets
I focus on production-grade data engineering, not one-time scripts.
What I Do:
I design and develop end-to-end data pipelines and ETL systems across AWS, Microsoft Azure, and Google Cloud Platform (GCP), covering the full data lifecycle from ingestion and transformation to data warehouse modeling, governance, and analytics delivery.
I work across the full modern data stack: Snowflake, BigQuery, Redshift, Azure Synapse, Databricks, dbt, Apache Airflow, Apache Spark, and Apache Kafka. I also build document data extraction pipelines that pull structured data from PDFs, invoices, forms, and scanned records using Azure Document Intelligence, AWS Textract, and Google Document AI.
I help businesses move from scattered, inconsistent data to a clean data strategy, a reliable data warehouse layer, and scalable data pipelines that the business can actually trust.
Core Expertise:
- Data Strategy and Data Architecture
- ETL and ELT Pipeline Development
- Data Pipelines (Batch and Real-time)
- Data Warehouse Management (Snowflake, BigQuery, Redshift, Azure Synapse)
- Data Modeling with dbt (Star Schema, Snowflake Schema, Medallion Architecture)
- Apache Airflow Orchestration and Workflow Automation
- Data Integration and Data Processing
- Data Migration and Cloud Migration
- OCR and Document Data Extraction (Azure Document Intelligence, AWS Textract, Google Document AI)
- Data Quality, Data Governance, and Optimization
Technologies:
- Snowflake, BigQuery, Redshift, Azure Synapse, Databricks, Delta Lake
- dbt, Apache Airflow, Apache Spark, Apache Kafka
- Python, SQL, PySpark
- AWS (S3, Redshift, Lambda, Kinesis, Textract), Microsoft Azure (Synapse, Data Factory, Databricks, Document Intelligence, Event Hubs, IoT Hub), Google Cloud Platform (BigQuery, Cloud Composer, Document AI)
- PostgreSQL, Fivetran, Power BI, Apache Superset, Looker
Selected Impact:
- Migrated 700TB+ to Azure Synapse and PostgreSQL for a European automotive distributor managing 4,500+ dealerships
- Built Snowflake and dbt data warehouse for an aerospace client, later licensed commercially to competitors
- Reduced data quality incidents by 60% across a pharmaceutical distribution network spanning 26 markets through a production data quality gateway
- Cut query performance time by 10x and infrastructure cost by 35% on a chemicals manufacturer lakehouse migration to Azure Databricks
- Unified 10+ data sources into BigQuery with Cloud Composer and Fivetran for a gaming and e-commerce platform
- Tripled data availability for analytics teams by consolidating 4+ external sources into a single Redshift layer
- Reduced leak detection from hours to 15 minutes across 500+ fuel retail sites through a real-time IoT data pipeline
Industries:
Oil and Gas, FinTech and Cryptocurrency, Automotive, Aerospace, Pharmaceutical and Life Sciences, Chemical Manufacturing, Industrial Manufacturing, Gaming and E-commerce, Healthcare
If you work with me, here's what I can promise:
- Zero surprises: Every milestone, deliverable, and cost is locked in from day one. No scope creep. No hidden charges.
- Delivered on time and on budget: 12 enterprise data pipelines and data warehouse projects shipped across 9 industries.
- Fast response: You will hear back from me within hours, not days.
- End-to-end ownership: Your data pipeline is my responsibility from data strategy to production handover.
Steps for completing your project
After purchasing the project, send requirements so Huzaifa can start the project.
Delivery time starts when Huzaifa receives requirements from you.
Huzaifa works on your project following the steps below.
Revisions may occur after the delivery date.
Sending link And Requirements
Initial step
Start extracting data.