I will do data engineering, etl pipeline orchestration, and data architecture
GCP Data Engineer
About this Gig
Are you struggling to manage messy data, design scalable pipelines, or choose the right cloud infrastructure? I can help you build a solid, future-proof data foundation.
As a Google Cloud Certified Associate Data Engineer with over 3.5 years of industry experience, I specialize in designing robust data architectures and ETL workflows that turn raw, scattered data into structured, actionable assets.
What I Offer:
- Data Auditing: Evaluating your current data sources, storage, and workflows to identify bottlenecks.
- Cloud Architecture: Designing scalable, cost-effective data solutions with a strong focus on Google Cloud Platform (GCP).
- ETL Pipeline Design: Strategizing efficient data extraction, transformation, and loading processes.
- Tech Stack Guidance: Recommending the best modern data tools for your specific business needs.
Whether you need a quick 30-minute consultation, a visual architecture diagram for your engineering team, or a comprehensive end-to-end data strategy, I provide clear and practical solutions.
Let's transform your data infrastructure. Send me a message before placing an order so we can discuss your exact needs!
FAQ
Do you build the actual code for the pipelines or just design them?
This specific gig focuses on consulting, architecture diagrams, and high-level design recommendations. However, I am a fully capable Data Engineer. If you need hands-on development and coding for your pipelines, please message me to discuss a custom offer!
What cloud platforms do you specialize in?
I am officially Google Cloud Certified, so my primary expertise and deepest knowledge lie within GCP ecosystems. However, I am highly familiar with core data engineering concepts that apply across all major cloud providers.
What information do you need from me before we start?
To give you the best advice, I'll need a brief overview of your business goals, a list of your current data sources (e.g., APIs, databases, flat files), and any specific pain points you are currently experiencing.

