Data Muallem
The data teacherA YouTube channel teaching modern data engineering — Microsoft Fabric, cloud data platforms, and AI-assisted development, shown on real tools instead of slides.
Ten+ years architecting cloud data platforms on Google Cloud and Azure — and, after hours, shipping tools people actually use: a model-deprecation tracker, a text editor, an optical instrument, and a YouTube channel that teaches data.
A YouTube channel teaching modern data engineering — Microsoft Fabric, cloud data platforms, and AI-assisted development, shown on real tools instead of slides.
A live tracker of AI models from every major lab — releases, deprecation countdowns, and the successor to migrate to before a pinned model ID breaks production. Hundreds of models, rebuilt daily.
A cross-platform text editor with infinite local version history, cross-device sync through your own cloud storage (no account), built-in AI, an Excalidraw canvas, and 100MB+ large-file handling.
A free, privacy-first pupillary-distance tool for ordering glasses online — webcam, photo, or printable ruler, with confidence ranges. Everything runs locally; no images uploaded, no signup.
I'm a Data Architect at Deel (Roshn KSA), based in Bangalore, where I lead a team of seven building and running a Google Cloud data warehouse — medallion architecture on Cloud Storage and BigQuery, real-time and batch ingestion, and a platform tuned well enough to cut costs by 30%.
Before that: a decade across the Gulf and India's data scene — enterprise BI for Al Shaya, DAMAC Properties, and OSN, migrating on-premise warehouses to Azure and building the dashboards businesses actually run on.
These days the same instinct goes into products. If a tool should exist and doesn't, I build it — and teach what I learn along the way on Data Muallem.
Leading a 7-developer team on a GCP data warehouse: medallion lakehouse on Cloud Storage + BigQuery, real-time / near-real-time / batch ingestion, SCD 1 & 2, enterprise cloud guidelines — 30% cost reduction.
Designed and supported enterprise data models, BI dashboards, KPI scorecards, and end-to-end ingestion and transformation across sources.
End-to-end data modelling, ingestion, and visualization on Azure — Data Factory, Synapse, tabular models, DAX, and Power BI at enterprise scale.
Migrated on-premise platforms to Azure: IBM Cognos to Power BI, Netezza and Oracle to Azure SQL Data Warehouse.
ADF pipelines from on-premise SQL to Azure, SSAS memory profiling, and full-cycle DWH development on SQL Server 2016.
Complete BI solutions: ETL back-ends, Azure Data Factory pipelines, and data visualization for customers.
Hiring for a data platform, or want to compare notes on building tools with AI? The fastest route is LinkedIn.