You will get BigQuery Audit & Cost Optimization — Full Report With Recommendations
Project details
Is your BigQuery bill growing faster than your data? Are your queries
slow, expensive, or returning results nobody trusts?
I'll perform a thorough audit of your BigQuery environment and deliver
a detailed report with specific, actionable recommendations — so your
team knows exactly what to fix and in what order.
What the audit covers:
✦ Query cost analysis — identifying the most expensive queries and why
✦ Schema review — partitioning, clustering, and data type efficiency
✦ Storage optimization — identifying redundant tables, expired data,
and savings from tiered storage
✦ Slot utilization — on-demand vs reservations cost comparison
✦ Data freshness & pipeline reliability review
✦ Security & access control check (dataset permissions, IAM roles)
✦ Materialized views and caching opportunities
✦ Recommendations ranked by impact and effort
You'll receive a clean, shareable PDF report your whole team can act on
— not just a list of vague suggestions.
What I need from you: read-only access to your BigQuery project (via
a service account) and a brief call to understand your priorities.
slow, expensive, or returning results nobody trusts?
I'll perform a thorough audit of your BigQuery environment and deliver
a detailed report with specific, actionable recommendations — so your
team knows exactly what to fix and in what order.
What the audit covers:
✦ Query cost analysis — identifying the most expensive queries and why
✦ Schema review — partitioning, clustering, and data type efficiency
✦ Storage optimization — identifying redundant tables, expired data,
and savings from tiered storage
✦ Slot utilization — on-demand vs reservations cost comparison
✦ Data freshness & pipeline reliability review
✦ Security & access control check (dataset permissions, IAM roles)
✦ Materialized views and caching opportunities
✦ Recommendations ranked by impact and effort
You'll receive a clean, shareable PDF report your whole team can act on
— not just a list of vague suggestions.
What I need from you: read-only access to your BigQuery project (via
a service account) and a brief call to understand your priorities.
What's included
| Service Tiers |
Starter
$49
|
Standard
$149
|
Advanced
$249
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 0 | 2 | 3 |
Schema Diagram | - | ||
Permissions Setup | - | - | - |
Import/Export Data | - | ||
Admin Panel Setup | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $100Frequently asked questions
About Rakesh
GCP Data Engineer
Sirsilla, India - 6:01 pm 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 service account setup instructions for read-only access
Confirm access and review your BigQuery environment