You will get GCP Data Engineering Consultation — Architecture Review & Action Plan
Project details
Struggling with your GCP data stack? Not sure how to structure your
pipelines, reduce BigQuery costs, or plan your next migration?
In this 60-minute 1-on-1 consultation, we'll dig into your specific
data challenge and come out with a clear, actionable plan tailored to
your stack and goals.
This is NOT a generic call. Before we meet, you'll fill out a short
intake form so I understand your current setup, pain points, and
objectives. We'll use every minute productively.
What we can cover:
✦ BigQuery schema design, partitioning & clustering strategy
✦ Pipeline architecture review (Dataflow, Composer, Pub/Sub)
✦ dbt project structure and modeling best practices
✦ GCP cost optimization strategies
✦ Migration planning (on-prem or AWS/Azure → GCP)
✦ Data platform architecture for startups or scaling teams
✦ ETL vs ELT approach for your use case
After the call, you'll receive a written summary of everything we
discussed plus a prioritized action plan — so nothing gets lost.
Perfect for: CTOs, data leads, or engineers who want an expert second
opinion before building or need help getting unstuck fast.
pipelines, reduce BigQuery costs, or plan your next migration?
In this 60-minute 1-on-1 consultation, we'll dig into your specific
data challenge and come out with a clear, actionable plan tailored to
your stack and goals.
This is NOT a generic call. Before we meet, you'll fill out a short
intake form so I understand your current setup, pain points, and
objectives. We'll use every minute productively.
What we can cover:
✦ BigQuery schema design, partitioning & clustering strategy
✦ Pipeline architecture review (Dataflow, Composer, Pub/Sub)
✦ dbt project structure and modeling best practices
✦ GCP cost optimization strategies
✦ Migration planning (on-prem or AWS/Azure → GCP)
✦ Data platform architecture for startups or scaling teams
✦ ETL vs ELT approach for your use case
After the call, you'll receive a written summary of everything we
discussed plus a prioritized action plan — so nothing gets lost.
Perfect for: CTOs, data leads, or engineers who want an expert second
opinion before building or need help getting unstuck fast.
Database Type
MySQL, Oracle, PostgreSQL, TeradataWhat's included
| Service Tiers |
Starter
$99
|
Standard
$149
|
Advanced
$249
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 3 days |
Number of Revisions | 0 | 2 | 3 |
Schema Diagram | |||
Permissions Setup | - | - | - |
Import/Export Data | - | - | - |
Admin Panel Setup | - | - | - |
Frequently asked questions
About Rakesh
GCP Data Engineer
Sirsilla, India - 7:15 am local time
companies turn messy, siloed data into reliable, production-grade
infrastructure on Google Cloud — so your team spends less time fixing
broken jobs and more time making decisions.
With 5+ years of hands-on experience as a GCP Data Engineer, I specialize in:
✦ Building end-to-end data pipelines using Dataflow, Pub/Sub, and Cloud Composer (Airflow)
✦ Designing and optimizing BigQuery data warehouses for performance and cost
✦ Transforming and modeling data with dbt (snapshots, incremental models, tests)
✦ Orchestrating workflows with Apache Airflow / Cloud Composer
✦ Infrastructure as Code using Terraform on GCP
✦ Real-time and batch ingestion from APIs, databases, and event streams
✦ Building data lakes on Google Cloud Storage with proper partitioning and lifecycle rules
✦ Connecting data to BI tools like Looker, Looker Studio, and Power BI
I've worked with teams across e-commerce, fintech, and SaaS — helping
them migrate from legacy systems to modern cloud-native stacks, reduce
BigQuery costs by restructuring queries and clustering strategies, and
build self-healing pipelines that don't wake engineers up at 2 AM.
I take ownership of my work end-to-end: from understanding your business
requirements and data sources, to delivering documented, tested, and
maintainable solutions.
What you can expect working with me:
→ Clear communication and daily/weekly updates
→ Well-documented code and architecture diagrams
→ On-time delivery with no surprises
→ Honest scope assessment before we start
If you're building something on Google Cloud — or migrating to it —
let's talk. Send me a message describing your data challenge and I'll
respond within 24 hours.
Steps for completing your project
After purchasing the project, send requirements so Rakesh can start the project.
Delivery time starts when Rakesh receives requirements from you.
Rakesh works on your project following the steps below.
Revisions may occur after the delivery date.
Send intake form to understand your setup and goals
Review your responses and prepare for the session