Projects
Case studies from enterprise data platforms on Azure and Databricks — the problem, the architecture, the decisions, and the lessons. Internal names and figures are left out unless approved.
01 / Case study
Event-driven pipelines that move operational airline events from Event Hubs through stateful Structured Streaming into Cosmos DB — without losing data when clusters restart.
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02 / Case study
Making stateful streaming observable, fixing RocksDB-related driver memory growth, and cutting Databricks compute cost by around 45% through workload analysis and right-sizing.
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03 / Case study
A governed Azure Databricks lakehouse with Bronze/Silver/Gold layers, metadata-driven onboarding, automated data quality, and CI/CD — built for many teams and many sources.
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Platform initiatives
Initiatives delivered as part of the Connected Operations data platform at Xebia Middle East.
Enterprise Lakehouse foundation unifying governed operational data for airline decision-making.
Automated, metadata-driven validation and exception controls across thousands of business rules.
Reusable onboarding, orchestration, audit, and operational patterns across diverse data sources.
Engineering utilities and workload strategies delivering approximately 45% lower compute cost.
Automated operational tasks, cluster management, metadata handling, and deployment activities.
Event Hubs, Structured Streaming, Auto Loader, and Lakeflow pipelines for resilient real-time data.
Secure, reusable ingestion patterns for operational airline systems and REST endpoints.
Medallion, Delta Lake, Unity Catalog, security, governance, reliability, and operational standards.
Contact
Or email rahulgosavi.94@gmail.com