I will build etl pipelines using python, airflow, spark and sql
Data Engineer and High Performance Python Backend Developer
About this Gig
Need a reliable data pipeline to automate data processing and eliminate manual work?
I build scalable ETL pipelines using Python, Apache Airflow, Apache Spark, SQL, and modern data engineering practices. Whether you're processing files, databases, APIs, or cloud storage, I can design workflows that are efficient, maintainable, and production-ready.
Services I Offer
- Python ETL Development
- Apache Airflow DAGs
- Apache Spark Pipelines
- SQL Data Transformation
- Data Cleaning & Validation
- API & Database Integration
- Scheduled Workflow Automation
- Incremental Data Loading
- Data Quality Checks
- Logging & Error Handling
- Dockerized Pipelines
- Documentation & Deployment Support
I focus on building clean, scalable, and well-documented pipelines that are easy to maintain and extend. Every solution is designed with reliability, performance, and best practices in mind.
If you're unsure which package fits your project, send me a message before ordering. I'll help you choose the best solution based on your requirements.
Tools & Platforms:
Azure Data Factory
My Portfolio
FAQ
What types of data sources can you work with?
I can work with SQL databases, CSV/Excel files, REST APIs, cloud storage, JSON data, and many other structured data sources.
Can you build Apache Airflow workflows?
Yes. I can create Airflow DAGs with scheduling, dependencies, retries, logging, and monitoring.
Do you support Apache Spark?
Yes. I build Spark pipelines for large-scale data processing, transformations, and ETL workloads.
Can you automate recurring data jobs?
Absolutely. I can create scheduled pipelines that automatically extract, transform, validate, and load data.
Can you deploy the pipeline?
Yes. Deployment assistance using Docker or cloud platforms can be included as a Gig Extra or in the Premium package.

