Cloud Engineer & Data Analyst

Hi, I'm Scott Becker, Data Analyst & Cloud Engineer.



Is that I retired!!! 

I will still post content, but I am not for hire or consultations. 






Google Analytics 4 (GA4)
Google Professional Data Analyst Certificate


Your Data Detective Awaits

Hello, data adventurers! I’m Scott Becker, your data detective. I have a magnifying glass aimed at SQL, Python, and Excel, dissecting complex data to unearth hidden truths. I create stunning visualizations in Power BI, Tableau and Looker Studio to guide you on your quest to deeper insights from your data.

Data Analytics

Looking for comprehensive insights into your data-driven challenges? My expertise spans beyond traditional tools, encompassing advanced data analytics platforms and techniques. From identifying patterns in customer behavior to optimizing business processes. 

I have over a decade of experience in digital marketing analytics. I use Google Analytics 4 (GA4) and many other Google Marketing Platform’s tools to provide valuable insights to your digital marketing efforts. 

Cloud Engineering

Google Cloud Platform (GCP) is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, file storage, and YouTube. As a comprehensive and flexible cloud solution, GCP offers a wide range of services that enable businesses and developers to build, deploy, and scale applications, websites, and services on the same reliable and secure infrastructure that Google uses.

At the core of GCP’s offerings is its Compute services, which include Google Compute Engine, an Infrastructure as a Service (IaaS) offering that provides users with virtual machine instances for workload hosting. Storage in GCP is robust and scalable, with services like Google Cloud Storage offering secure and durable object storage. It’s ideal for storing large unstructured data sets and is accessible from any location.

When it comes to databases, GCP presents a comprehensive range of options. Cloud SQL and Cloud Spanner offer fully managed relational database services, with the former providing compatibility with MySQL and PostgreSQL and the latter being a globally distributed database system for larger-scale database applications. For NoSQL needs, Firestore and Bigtable present highly scalable and flexible solutions.

BigQuery stands out as a fully managed, serverless data warehouse that enables scalable analysis over petabytes of data. It’s a powerful tool for big data analytics, offering fast SQL queries and interactive analysis capabilities. BigQuery integrates seamlessly with other GCP services, enhancing data analytics and business intelligence workflows.

Your Privacy Matters

Discretion is my middle name. I sign NDAs with all my clients, ensuring your data stays yours. I will not discuss our work with anyone, without express written consent. I won’t even share your name. 

AI and Machine Learning: The New Gumshoes

Are you confused about AI and Machine Learning? Think of AI as the broad term for machines doing ‘human things’ and Machine Learning as a type of AI where computers learn from data. They’re not just trends but powerful tools that augment my sleuthing abilities. I use advanced tools like ChatGPT-4 and Google’s BARD to bring even more depth to my work—making me the Sherlock of Data Analysis, Digital Marketing, and Cloud Engineering.

Ready to solve some mysteries together? Reach out, and let’s crack the case!


YouTube player


I had a little fun with Artificial Intelligence. I used ChatGPT to write the script, then to clone my voice and read the script. 

The logo was done by and the video was done with Flexclip


You can Hire Me Here