Hussain Mohammad

Architected end-to-end data pipelines processing 200M+ daily records with 98.2% uptime, enabling near real-time access to critical business metrics. Eliminated data silos across 12+ enterprise systems by implementing a data governance framework, improving data lineage tracking by 75% and preventing critical reporting errors that previously cost the company $250K annually. Accelerated large-scale analytics from hours to minutes by optimizing SQL processing for 50TB+ datasets, enabling daily refreshes of key dashboards to support near real-time decision making.

Architected end-to-end data pipelines that processed 200M+ daily records with 98.2% uptime, enabling executives to access critical business metrics in near real-time. Eliminated data silos across 12+ enterprise systems by implementing Collibra Data Governance, improving data lineage tracking by 75% and preventing critical reporting errors. Optimized Hive SQL processing for 50TB+ datasets to accelerate large-scale analytics from hours to minutes.

Reduced reporting time by 65% by architecting end-to-end data pipelines that process 200M+ daily records with 98.2% uptime, enabling executives to access critical business metrics in near real-time. Eliminated data silos across 12+ enterprise systems by implementing a collaborative Data Governance framework, improving lineage tracking by 75% and preventing multiple critical reporting errors that previously cost the company $250K annually. Accelerated large-scale analytics from hours to minutes by optimizing Hive SQL processing for 50TB+ datasets, enabling same-day insights during peak sales periods.