data warehousing
Summary
Problem:
A leading AdTech consultancy was experiencing rapid growth as businesses rushed to online advertising in the years following COVID. With growth came a need for modern, scalable business analytics infrastructure.
Solution:
In close partnership with leadership, my colleagues and I designed and implemented a comprehensive BI strategy and data warehouse. Data was centralized in BigQuery and became the source of truth for many teams, providing the clarity and confidence required for strategic decision-making.
Skills
Data Transformation (SQL)
Dashboard Design
Git Version Control
Tools
Google Cloud
BigQuery
Looker Studio
Dataform
Github
the problem:
Your data is EVERYWHERE.
Stuck within SaaS platforms.
Dispersed across teams.
You aren’t able to find meaningful insights from data, leaving you to make critical decisions based on gut instincts.
The solution:
Bring your data together in one place.
Combine data sources to get the complete picture of your customers, their behaviors, and your business.
Key Benefits:
Fresh, clean data that drives decision making. Less manual work. Time & money saved.
automated pipelines:
Need to add more data? No problem. Need more compute? No problem.
Cloud data warehousing means you can sprint forward without hesitation.
scale:
Unified customer view:
Connect customer data across touchpoints, from the first ad click to downstream revenue. Measuring ROI becomes possible!
Predict churn, forecast revenue, segment customers, or use LLM models to enrich datasets. You’re ready to drive growth with confidence.
Ml & ai capability
my honest take:
Every business is at a different stage in their analytics maturity. If you’re just getting started…
DON’T BOIL THE OCEAN.
Identify ONE high impact business problem and build data solutions to repeatedly solve that use case.
In the process of building repeatable analytics solutions that solve REAL BUSINESS PROBLEMS, your data warehouse will begin to take form. You can then proceed to integrate other data over time as the business needs to answer more complicated questions.
