I will build and optimize your scalable etl data pipelines
About this Gig
Are your data pipelines slow, unreliable, or failing to scale?
Data is the backbone of modern business, but only if it moves efficiently. I help businesses design, build, and optimize scalable ETL/ELT pipelines to ensure your data is clean, consistent, and always available for analysis. Whether you are building a new data warehouse or fixing a broken integration, I provide the technical expertise to streamline your data infrastructure.
What I Offer:
- Pipeline Development: Building end-to-end ETL/ELT pipelines using Python and SQL.
- Data Integration: Connecting disparate data sources (APIs, Databases, Cloud Storage) into a unified warehouse.
- Performance Optimization: Debugging and optimizing existing pipelines to reduce processing time and costs.
- Data Modeling: Designing robust schemas (Star/Snowflake) to ensure your data is query-ready.
My Toolset:
- Languages: Python, SQL.
- Cloud & Infrastructure: Google BigQuery, AWS S3, Google Cloud Storage.
- Orchestration & Workflow: Custom automation and script development.
Why Work With Me?
- I deliver clean, documented, and maintainable code.
- I focus on building systems that are not just functional, but scalable for future growth.
FAQ
Q: What cloud platforms do you support?
A: I specialize in Google Cloud (BigQuery, GCS) and AWS (S3).
Q: Do you document your work?
A: Yes, all pipeline code is clean, documented, and designed to be maintainable by your internal team.
Q: Can you help me migrate data between platforms?
A: Absolutely. I can assist with end-to-end data migration and ensure data quality during the transfer.
Q: What if I have a custom data source?
A: I have extensive experience building custom API integrations for non-standard data sources.
