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Ozair Khan
Evidence Hub // Pillar A

Enterprise Architecture Case Studies

Detailed engineering RFCs outlining enterprise cloud migrations, distributed data pipelines, and scalable warehouse topologies. All proprietary data has been sanitized while preserving architectural depth, trade-offs, and verified impact metrics.

Fintech & Commercial Intelligence Senior Data & Platform Engineer
Enterprise Verified

The 'Cost of Deal' Platform: Unified Enterprise Data Product

Consolidated fragmented pricing, ticketing, and merchant rebate pipelines into an immutable, idempotent Data Product serving C-suite margin analytics.

4.2x Faster
Financial Reconciliation Cycle
0.0%
Cross-Department Metric Drift
18M+
Daily Transactions Processed
99.4%
Data Quality Test Coverage
Apache Spark BigQuery Apache Airflow Python +3
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Enterprise Data Warehousing Lead Cloud Data Architect
Enterprise Verified

Enterprise Oracle to BigQuery Migration: Architecture & Cutover

Re-architected monolithic Oracle nightly batches into partitioned BigQuery ELT with Airflow DAGs, reducing critical reporting latency from 8 hours to 15 minutes.

-64%
Query Latency Reduction
$180K
Annual Cloud Compute Savings
2.4 TB
Daily Data Ingested
15 Mins
Data Freshness SLA
Google BigQuery Apache Airflow Oracle Python +3
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Architectural RFC Format & Visa Standards

Each case study adheres to the RFC (Request for Comments) standard: Executive Summary → System Topology (Mermaid.js) → Hard Trade-offs & Bottlenecks → Measurable Business Impact. Curated to satisfy evidentiary standards for the US O-1A (Extraordinary Ability) and UK Global Talent Visa (Tech Nation).