I will build scalable data pipelines, etl workflows and automate data processing
About this Gig
I will design, build, and automate scalable data pipelines and ETL workflows tailored to your business needs.
I specialize in extracting data from multiple sources, transforming it efficiently, and loading it into modern data platforms with reliability and performance in mind.
What I can help you with:
- ETL / ELT pipeline development
- Batch & basic streaming data pipelines
- Data cleaning, transformation & validation
- Orchestration using industry-standard tools
- Cloud and on-prem data integrations
- Well-documented and maintainable solutions
Technologies & Platforms:
- Python, PySpark
- Apache NiFi, Azure Data Factory, AWS Glue
- Databricks Lakehouse
- Snowflake, Amazon Redshift, Azure Synapse
- PostgreSQL, MySQL, SQL-based systems
Why choose me:
- Clean & scalable solutions
- Clear communication
- On-time delivery
- Support even after delivery
Please message me before placing an order so we can discuss your requirements clearly.
FAQ
What do you need from me to get started?
I need access to your data source, destination details, and a brief explanation of your data and business requirements.
Do you support cloud platforms?
Yes, I work with AWS, Azure, Databricks, and modern data warehouses like Snowflake, Redshift, and Synapse.
Can you handle large datasets?
Yes, I design pipelines that can process large-scale data efficiently using distributed processing tools.
Do you provide documentation?
Yes, clear documentation is included so you can understand and maintain the pipeline easily.
Do you offer revisions?
Yes, revisions are included based on the selected package. Additional revisions can be added if required.
Can you build custom pipelines?
Absolutely. Every solution is customized according to your specific data and business needs.

