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Fiverr Pro
English
$
USD
I will audit your data and fix slow, inaccurate dashboards
Senior Data Scientist
Expertise in Data Engineering, Data Analysis and Data Visualization.
10+ years working in Financial Planning and Analysis, Business Intelligence and Data Analytics.
Fluency in python programming, vi...
Vetted by Fiverr Pro
Bruno D. was selected by the Fiverr Pro team for their expertise.
Vetted for
Data Engineering
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About this Gig
Vetted Pro
I audit, redesign, and rebuild your entire reporting and data infrastructure so your team can finally trust the numbers and make decisions with confidence.
I start with a full data infrastructure audit covering your pipelines, warehouse, schemas, transformations, and reporting layer. This includes database performance, ETL health , data quality checks, and dashboard reliability. You'll receive a clear diagnosis of whats slowing you down, whats breaking, and whats costing you money.
Next, I deliver a proposed new setup tailored to your business whether youre running ecommerce, subscription, SaaS, or datasensitive operations. This includes a redesigned warehouse structure, optimized pipelines, improved reporting models, and a scalable architecture that supports growth. Youll get a practical, step-by-step plan for a modern, automated analytics stack.
Finally, I implement the new setup end-to-end. That means building or fixing BigQuery models, optimizing connectors, cleaning up transformations, and delivering fast, reliable dashboards.
FAQ
What types of businesses do you work with?
I work with ecommerce, subscription, SaaS, and service businesses that rely on data for reporting, marketing performance, inventory, revenue tracking, or executive dashboards. Most clients come to me when their current reporting is messy, slow, or untrustworthy.
What problems can you fix?
Common issues I solve include: Numbers not matching across dashboards Broken or unreliable pipelines Slow warehouse performance Metrics buried in spreadsheets or BI tools Poor data modeling and messy schemas Reporting that can’t scale as the company grows
What do you mean by a “data infrastructure audit”?
The audit is a full review of your reporting stack, including: Data sources and connectors ETL/ELT pipeline health Warehouse structure and performance Transformation logic (dbt/SQL models) Dashboard accuracy and reliability You receive a clear diagnosis of what’s breaking, what’s inefficient,
What tools and platforms do you support?
I commonly work with: BigQuery, Snowflake, Redshift Airbyte, Fivetran, Stitch dbt, SQL transformations Looker, Tableau, Power BI Shopify, Amazon, Meta Ads, GA4, HubSpot If you have a different stack, feel free to ask.
What will I receive at the end of the project?
Deliverables typically include: Clean and scalable warehouse structure Reliable automated pipelines Optimized reporting models (facts/dimensions) Fast dashboards your team can trust Documentation for ongoing maintenance
Can you fix an existing system instead of rebuilding everything?
Yes. Many clients already have pipelines and dashboards in place — I can improve and stabilize what you have rather than starting from scratch.
How long does this take?
Timelines depend on complexity: Audit only: 2–5 days Redesign plan: 1 week Full rebuild/implementation: 2–4 weeks I’ll provide a clear schedule after reviewing your setup.
What do you need from me to get started?
To begin, I usually need: Access to your warehouse (read-only is fine for audit) List of key data sources (Shopify, ads, CRM, etc.) Current dashboards or reporting pain points The main business questions you want to answer
Can you integrate AI or automation on top of the warehouse?
No — I typically work in parallel (staging environment) so your existing dashboards keep running until the improved system is ready.
Will this help reduce costs?
Often yes. Many stacks waste money through: unnecessary data syncs inefficient queries duplicated pipelines bloated warehouse storage Optimization usually lowers monthly spend.
