The organization is a global leader in aircraft maintenance, repair, and overhaul services, supporting mission-critical aviation operations across global markets. The firm relies on accurate, timely, and trusted operational data to support material readiness, supply chain visibility, aircraft availability, and business continuity.
As part of its enterprise analytics modernization journey, the firm aimed to strengthen Material Management and operational reporting by integrating critical data from on-prem Oracle systems with Azure Synapse Analytics.
The company’s analytics environment was facing frequent instability due to invalid Oracle backend date values, fragmented legacy pipelines, inconsistent incremental logic, and recurring failures during high-volume data transfers. These issues led to partial reloads, data gaps in Material Management-critical tables, reconciliation mismatches during UAT, and delays in Power BI refresh cycles.
Mission-critical aviation operations relied on accurate data, and the organization needed a stable, scalable platform to track orders and manage inventory efficiently, ultimately restoring trust across the business.
Cloud4C adopted a DataOps-led stabilization and modernization modus operandi to improve reliability, data integrity, and performance across the Azure Synapse environment. The team stabilized Material Management-critical pipelines, corrected SQL logic and schema mismatches, implemented robust incremental load and merge logic, and introduced controlled data quality handling for Oracle anomalies. Cloud4C also consolidated over 30 production pipelines, executed large-scale historical reloads with reconciliation, and optimized Azure Synapse Dedicated SQL Pool for performance and cost efficiency.
Zero unplanned pipeline failures post-stabilization
Restored data integrity across MM-critical datasets
~40% reduction in pipeline execution time
~40% reduction in Synapse SQL Pool costs
Improved Power BI refresh reliability