I will be your google cloud data engineer for etl and analytics
About this Gig
About This Gig:
I'm a Google Cloud Platform (GCP) Data Engineer specializing in building efficient, scalable data pipelines and automating ETL workflows using Python, SQL, Airflow and PySpark. I work with GCP Services like BigQuery, Cloud Storage, DataProc, Cloud Composer, Cloud Function and Cloud SQL to transform raw data into actionable insights.
Services Provided:
- Data Formatting: Transform and structure data for analysis.
- ETL Pipeline Automation: Build and automate pipelines from any source.
- Python Script Deployment: Deploy scripts on Cloud Functions for automation.
- Performance Optimization: Optimize datasets and queries for speed and cost.
Why Choose My Services?
- Experienced: Skilled in GCP data engineering and ETL automation.
- Timely Delivered: Committed to meeting your deadlines.
- Client-Centric: Your satisfaction is my priority, with revisions available.
- Confidential: Your data and workflows are fully secure.
Process:
- Submit Files & Requirements: Share your data and project details.
- Design & Develop: I analyze your data and build the pipeline.
- Automation & Optimization: Implement workflows and optimize performance.
Note: Lets discuss your project before placing an order
FAQ
What types of data can you work with?
I can work with various types of data, including sales and marketing data, analytics and user behavior data, financial records, transactional data, logs, sensor/IoT data, and more. I can also handle structured, semi-structured, and unstructured data.
How can I send my data to you?
You can share your files via Google Drive, Dropbox, or upload them directly when placing an order on Fiverr. For very large datasets, we can use secure cloud transfer methods.
Is my data kept confidential?
Absolutely! Your data is fully secure and confidential. I follow strict privacy practices and never share your data.
How long will it take to complete my order?
Delivery time depends on the project size and complexity. Typically, simple ETL pipelines can be done within 1–3 days, while complex workflows may take longer.
What if I am not happy with the final result?
I offer revisions to ensure your satisfaction. Your project is only complete when you’re happy with the results.

