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I will build scalable etl pipelines using databricks and airflow
India
Certified Data Engineer,Big Data,Spark,Data Warehousing
About this Gig
will design and build scalable, production-ready ETL pipelines using Databricks, PySpark, and modern orchestration tools.
If you need to move data from APIs, databases, or files into analytics-ready systems, I can help you automate and optimize the entire process.
What I offer:
- ETL development using Databricks & PySpark
- Batch data processing pipelines
- Scheduling with Airflow or Azure Data Factory
- Clean, validated, analytics-ready data
- Error handling, logging, and monitoring
- Cloud-ready architecture (AWS / Azure)
Ideal for:
- Data engineering projects
- Analytics platforms
- Reporting & BI systems
- Cloud data migrations
Please message me before ordering to discuss requirements and architecture.
Lets build reliable data pipelines
FAQ
What data sources do you support?
APIs, databases, CSV/JSON files, cloud storage, and data warehouses.
Do you provide orchestration?
Yes, using Apache Airflow or Azure Data Factory.
Is this suitable for production?
Yes, especially Standard and Premium packages.
Do you support Databricks workflows?
Absolutely. Databricks is my primary ETL platform.
Should I contact you before ordering?
Yes, to validate scope and choose the right package.

