I will build an azure data factory etl pipeline with sql integration
Web scraper and Data Engineer
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Your data is scattered, unreliable, and slow and thats costing you decisions, revenue, and growth.
I help businesses fix this by building clean, automated, production-grade ETL pipelines that move data exactly where it needs to go accurately, securely, and on schedule.
With limited data engineering experience, I design ETL systems that don't break, don't duplicate data, and don't require constant babysitting. From raw APIs and messy files to analytics-ready tables, I turn chaos into structured, trustworthy data flows
What I build
- End-to-end ETL pipelines using Python & SQL
- API, CSV, Excel, JSON Database / Data Warehouse
- Workflow orchestration with Apache Airflow
- Cloud ETL on AWS, Azure, GCP
- Data validation, logging, retries & performance tuning
Why serious clients hire me
- Clean architecture, not throwaway scripts
- Scalable pipelines built for growth
- Clear documentation & transparent communication
- Business-first mindset I solve problems, not just tasks
Whether you need a simple automated ETL or a fully orchestrated enterprise data workflow, I deliver pipelines you can trust in production.
Message me before ordering I'll review your use case and design the right solution.
Tools & Platforms:
Azure Data Factory
My Portfolio
FAQ
What is an ETL pipeline and why do I need one?
An ETL pipeline extracts, transforms, and loads data into a database or warehouse for reporting, analytics, and automation.
What tools do you use for ETL and data pipelines?
I use Python, SQL, and orchestration tools like Apache Airflow for scalable data pipelines.
Can you build automated ETL pipelines?
Yes. I build fully automated ETL pipelines with scheduling, logging, retries, and data validation for production use.
Do you handle data migration projects?
Absolutely. I provide secure data migration between databases, APIs, and cloud data warehouses with zero data loss.
Will my ETL pipeline be scalable and documented?
Yes. Every data engineering project includes clean architecture, scalability planning, and clear documentation.
