DataWiz is an engineering-driven boutique data firm building scalable data platforms for analytics and AI-ready environments.
We operate at the intersection of business intelligence and production-grade data engineering, designing systems that evolve with organizational complexity.
Our approach prioritizes structure, reliability, and long-term technical sustainability over short-term experimentation.
We design and implement cross-system data migrations, build incremental synchronization pipelines, and develop Python-based middleware across SQL Server and PostgreSQL environments.
We define and implement business-driven metrics, build Power BI reporting systems, and translate validated operational rules into executive dashboards.
We engineer Azure-aligned architectures and deploy Databricks-enabled data environments supporting hybrid ecosystems and advanced analytics workloads.
We formalize business rules, structure data validation processes, and implement enterprise data models that ensure consistency, traceability, and decision integrity.
SQL Server
PostgreSQL
Microsoft Azure
Python
Databricks
Power BI
A mid-sized industrial organization operated multiple operational and financial systems across separate PostgreSQL and Microsoft SQL Server environments. Production data, ERP data, and reporting systems were maintained independently. Over time, …
Over the past months, data analysis has entered a phase of accelerated transformation driven by the deep integration of artificial intelligence into data platforms. The focus is rapidly moving away …
AI isn’t a futuristic buzzword anymore — it’s a commit in your Git repo, a script in your Jenkins pipeline, and a chatbot handling L1 support tickets. Tools like GitHub …
