FAIZ ALAM

Led the end-to-end architecture, design, and delivery of Majid Al Futtaim's enterprise-scale Carrefour Omni-Channel Data Lake on Big Data platforms (GCP & Azure), establishing a single source of truth for both in-store and digital commerce data. This strategic platform underpins the organization's reporting, advanced analytics, machine learning, forecasting, and operational decision-making capabilities.

• Conceived and executed the data architecture blueprint from the ground up, leveraging Google Cloud (BigQuery, Dataflow, Pub/Sub) and Azure Synapse/Data Lake services, fully aligned with corporate vision and digital transformation objectives.
• Defined and enforced enterprise data standards, governance frameworks, and quality controls, implementing Databricks Delta Lake and governance features to ensure accuracy, compliance, and trust in analytical outputs.
• Directed cross-functional engineering teams to implement real-time streaming and batch ingestion pipelines using Databricks, Apache Spark, and GCP Dataflow, enabling unified, low-latency access to omnichannel datasets across multiple regions.
• Partnered with C-level stakeholders to translate high-level business priorities into scalable technical solutions, optimizing performance and cloud cost efficiency across GCP and Azure environments.
• Delivered a future-ready platform supporting multi-domain analytics, retail media activation, AI/ML integration, and predictive modeling, built on a foundation of Big Data technologies and Databricks collaborative workflows.

Architected and delivered the RFID Store Inventory platform, establishing an external inventory database to provide real-time and batch visibility into store-level stock positions, improving accuracy and responsiveness across the global supply chain.

• Designed and implemented end-to-end data pipelines leveraging Kafka (streaming), Airflow/Composer (orchestration), and BigQuery (analytics) to unify store, warehouse, and logistics data for high-quality, low-latency insights.
• Enabled predictive analytics and operational dashboards on top of RFID data, giving business users enhanced visibility into supply chain movements, stockouts, and shrinkage patterns, significantly improving SCM efficiency.
• Directed cross-functional collaboration across engineering and business stakeholders, from POC through production rollout, ensuring alignment with corporate digital transformation objectives.
• Established operational readiness by transitioning the platform to the support team, creating monitoring processes, and handling change requests and enhancements to sustain scalability and reliability.

Spearheaded the development of Walmart's global Merchant Datalake , an enterprise-wide single source of truth consolidating data across merchandising, pricing, and supply chain domains. This strategic platform powered highly responsive dashboards and self-service analytics, enabling business leaders to make proactive, data-driven decisions to optimize sales and operations.

• Architected and delivered high-volume ingestion pipelines from Teradata, DB2, and Mainframe binary files into HDFS/Hive, supporting datasets with billions of records .
• Designed and implemented complex, performance-optimized HQL transformations , reducing query execution times and improving analytical responsiveness for business users worldwide.
• Integrated Datalake outputs with ThoughtSpot and other BI tools, enabling real-time insights for merchandising and category management teams.
• Established data quality controls and governance processes , ensuring accuracy and trustworthiness of mission-critical analytics.
• Led onboarding and technical training programs for new engineers, accelerating ramp-up time and fostering best practices in distributed data processing.
• Delivered robust, scalable workflows using Datastage and Talend , ensuring reliable data delivery across heterogeneous environments.