I will build etl data pipelines with airflow, dbt, and snowflake
About this Gig
Are you looking to build scalable, reliable, and automated data infrastructures? I am a Data Engineer specializing in designing and orchestrating modern backend data pipelines.
I will help you move raw data seamlessly from your sources into your cloud data warehouse, transforming it into clean, reliable datasets ready for business analytics.
What I offer in this Gig:
- Custom ETL/ELT Pipeline Development using Python and SQL
- Workflow Orchestration & Automation with Apache Airflow (DAG design, scheduling, monitoring)
- Production-grade Data Transformation models using dbt (Data Build Tool)
- Cloud Data Warehousing setup and schema design in Snowflake or Amazon Redshift
- Secure and optimized data storage integration with Amazon S3
Why work with me?
- Clean, modular, and version-controlled data pipelines
- Fast response times and transparent milestones
- End-to-end support from initial ingestion to finalized data models
Please message me with your data architecture requirements before placing an order so we can map out the perfect solution for your project!
My Portfolio
FAQ
Do you need access to our systems
Yes, I'll need read access to your data source and a Snowflake/cloud environment. I can also work in a sandbox or dev environment if preferred.
Can you fix an existing broken pipeline instead of building a new one?
Yes, message me with details and I'll provide a custom quote.
Do you sign NDAs?
Yes, happy to sign one before starting.
What information do you need to get started?
Your data source type, desired output/destination, and any specific transformation logic or business rules.

