Dynamic Data
Data engineering, BI dashboards and custom generative AI built on governed company data
Skills & Services
Industries
About
Dynamic Data is a data and analytics agency founded by Victoria Gallerano. Its team works remotely across the United States, South America and Western Europe, and takes on clients worldwide.
The firm designs data architecture, builds pipelines and warehouses, and produces BI dashboards and reports. It also sets up marketing tracking and analytics, including server-side tracking for Shopify stores. Its stack covers BigQuery, Snowflake, Databricks, Amazon Redshift, Microsoft Fabric, dbt, Fivetran and Stitch, with reporting in Power BI, Looker, Tableau, Sigma, Metabase and QuickSight. Projects run on Google Cloud, Azure or AWS.
On the AI side, Dynamic Data offers machine learning for forecasting and operations, plus generative AI builds such as chatbots that answer questions on company data, copilots inside existing tools, and agents that run multi-step tasks. Models are grounded in the client's governed data, with retrieval and guardrails. Work usually starts as a small pilot and then expands. Published projects include a multi-tenant analytics product for a dental software firm, a Microsoft Fabric lakehouse for an equipment distributor, and a Google Cloud warehouse for a facial analysis company.
Portfolio
Zenus: automated Google Cloud data warehouse for AI facial analysis
Built a Google Cloud warehouse with a tested dbt pipeline and turned a static report into live per-client dashboards.
Smile Data: multi-tenant embedded dental analytics
Rebuilt a single-practice dashboard as a white-label BigQuery product with isolated tenant data and group-level views.
Equipment distributor: Microsoft Fabric lakehouse
Unified sales, inventory, customer and workforce data from acquired brands into one governed Fabric lakehouse.
Details
- Team Size
- 1-5