I will data analysis, etl, python scripts, create data visuals
About this Gig
Are you looking for clean, accurate, and reliable data solutions?
I provide end-to-end Data Analysis, ETL pipeline development, and Python Web Scraping tailored to your business needs.
What I Offer
Data Analysis
- Cleaning and preprocessing messy datasets
- Exploratory data analysis (EDA)
- Statistical analysis & insights
- Trend identification & visualizations
- CSV, Excel, SQL, JSON, API, and web-based data sources
ETL Pipeline Development
- Building automated ETL pipelines using Python
- Extracting data from APIs, databases, websites, and files
- Transforming data (cleaning, merging, mapping, validation)
- Loading into SQL/NoSQL databases, cloud storage, or dashboards
- Scheduling jobs (Airflow, Cron, Prefect if required)
Python Web Scraping
- Scraping structured and unstructured websites
- Dynamic site scraping with Selenium/Playwright
- BeautifulSoup, Requests, Scrapy
- Exporting results into CSV, Excel, JSON, or database
- Anti-bot handling and pagination support
Tools & Technologies
- Python, Pandas, NumPy
- BeautifulSoup, Selenium, Scrapy
- SQL (MySQL, PostgreSQL), MongoDB
- APIs & REST integrations
- Jupyter, Power BI, Matplotlib, Seaborn
- ETL automation using schedulers or custom Python scripts
FAQ
What information do you need to start the project?
I need the website URL (for scraping), sample data files, database access (if required), and a short description of the expected output.
Can you scrape any website?
Yes. I can build fully automated ETL pipelines using Python, including scheduled runs, transformations, validation, and loading into databases or cloud storage.
In what formats can you deliver the data?
CSV, Excel, JSON, SQL dumps, MongoDB collections, or any custom format you prefer.
Will the code be reusable?
Yes, all code is clean, documented, and reusable so you can extend or run it anytime.
Do you offer long-term data scraping or ETL maintenance?
Absolutely. I can set up recurring jobs and also maintain/monitor them on a weekly or monthly basis.
Can you handle large datasets?
Yes. I have experience with large CSVs, SQL tables, and multi-GB sources. I use optimized pandas/numpy operations and chunk processing.
Can you scrape dynamic or JavaScript-rendered sites?
Yes, I can use Selenium or Playwright to handle dynamic content, infinite scrolling, login, and JS-rendered pages.
Will the data be accurate and cleaned?
Yes. I perform extraction validation, deduplication, missing value checks, and format normalization before delivery.

