SQL Expertise – Problem Solving in Complex, High-Stakes Environments
As a data analyst supporting global operations at Qatar Airways and Pratt & Whitney, I have consistently leveraged advanced SQL techniques to drive business-critical insights and optimize decision-making. At Qatar Airways, I designed complex nested queries, CTEs, and window functions to reconcile discrepancies in passenger manifest data across multiple booking platforms, significantly reducing manual audit times and improving regulatory compliance reporting. Additionally, I created dynamic query-driven dashboards that monitored flight delays, crew schedules, and aircraft utilization in real-time—enabling the operations team to proactively manage disruptions and reduce turnaround times.
At Pratt & Whitney, I utilized advanced SQL joins, partitioning strategies, and subquery optimizations to analyze engine performance telemetry from global fleets. I played a pivotal role in building a modular data mart architecture that allowed engineering teams to isolate patterns in engine wear, correlate environmental conditions, and identify early-warning signals for maintenance—thereby improving engine lifecycle efficiency and reducing unscheduled downtime.
These experiences reflect not only my technical proficiency in SQL (across platforms such as SQL Server, Oracle, and BigQuery), but also my ability to apply analytical thinking, data modeling, and performance tuning to solve real-world, high-impact problems.