I will build ai powered data pipeline to extract and structure your unstructured data
Systems and ML Projects C Python SQL On Time and Optimized
About this Gig
Data locked in PDFs, emails, or documents you can't use? I build AI-powered Python pipelines that extract, clean, and structure your unstructured data and deliver it where you need it.
WHAT I BUILD
PDF, email & document extraction
Web scraping + structured output
LLM classification, tagging & summarisation
Data cleaning & deduplication
Multi-source merging & API integration
Automated scheduling (daily, weekly, on-trigger)
Output to PostgreSQL, BigQuery, Excel, Sheets, S3, Airtable
WHY AI IN YOUR PIPELINE?
Traditional ETL breaks on unstructured data. AI enrichment means:
Extract fields from free-text no brittle regex
Auto-classify and label records at scale
Handle inconsistent formats automatically
Flag anomalies before they hit your database
WHAT YOU GET
Clean Python code yours to keep
Documented, maintainable pipeline
Tested output with sample data
Post-delivery support
Message me first with your data source, what you need extracted, and where the output should go.
My Portfolio
FAQ
What input formats do you support?
PDFs, Word docs, Excel/CSV files, plain text, emails (EML/MSG), websites, REST APIs, databases (PostgreSQL, MySQL, MongoDB), and cloud storage (S3, Google Drive). If your format isn't listed, message me, I've yet to find one I can't work with.
What does "AI enrichment" actually mean inside a pipeline?
It means using a language model as a transformation step — not as a chatbot, but as an extraction engine. Instead of hand-writing fragile rules to pull a vendor name from a messy invoice, the model reads the text and returns a clean structured field.
Will I own the code?
Yes, full source code is included with every order. It's clean, documented Python with no hidden dependencies on me, you or your team can read it, modify it, and run it independently after delivery.
Can the pipeline run on a schedule automatically?
Yes — Standard and Premium packages include automated scheduling. I can configure it to run daily, weekly, or on a trigger (e.g. when a new file lands in a folder, or a webhook fires). Basic is a one-time run by default, but scheduling can be added as an extra.
What if my data volume is very large?
Message me first with the approximate volume. For large datasets I build pipelines with batching, retry logic, and cost-aware API usage so your AI enrichment costs stay predictable, no surprise bills.
Do I need my own AI API key?
It depends. For lightweight tasks I can use open-weight models with no key required. For GPT-4 or Claude-class enrichment, you'll need your own key, I'll tell you exactly which one and roughly what it will cost for your volume before you order.

