Mohammed Amir Sayed

Mosaic Company Fertilizer Industry)
• Architected enterprise-scale Azure Lakehouse platform using Azure Data Factory,
Databricks, Synapse Analytics, and Delta Lake
• Led migration of legacy on-premise systems to scalable Azure cloud ecosystem
• Reduced ETL runtime by 92% through Spark optimization and redesigned enterprise
processing architecture
• Built real-time and batch ingestion pipelines using Kafka, Event Hub, and Stream
Analytics
• Designed scalable multi-terabyte data processing solutions using Apache Spark and
Databricks
• Implemented Unity Catalog-based governance and enterprise security framework
• Managed and mentored team of 8 Data Engineers across analytics and reporting
initiatives
• Developed enterprise monitoring, logging, and error handling framework improving
pipeline reliability and issue resolution
• Implemented CI/CD pipelines using Azure DevOps and YAML automation
• Collaborated with business stakeholders to define enterprise data architecture roadmap
and modernization strategy
Environment: Kafka

• Designed and developed modern Azure-based data engineering solutions for enterprise
reporting and analytics
• Built scalable ETL pipelines using Azure Data Factory, Azure Databricks, Azure SQL, and
Azure Data Lake
• Developed metadata-driven ADF pipelines for automated ingestion and transformation
workflows
• Performed cloud migration planning, effort estimation, and downstream impact analysis
• Optimized Spark SQL and T-SQL processing workflows for improved data performance
• Implemented automated deployment pipelines using Azure DevOps and VSTS
Environment

• Developed enterprise data ingestion and transformation pipelines using Azure Data
Factory and Azure Databricks
• Designed metadata-driven ETL frameworks improving scalability and maintainability
• Built Azure-based reporting and analytics solutions supporting compensation and
financial analysis
• Developed SQL automation scripts and optimized enterprise ETL workflows
• Supported production deployment and release management activities
Environment:
Azure SQL Database, Azure Data Warehouse, Azure Data Factory, Azure Databricks, Power
BI
• Performed data modeling, ETL design, data profiling, and reporting development
• Coordinated with business stakeholders and product owners for requirement gathering
and backlog management
• Developed SSRS reporting solutions and enterprise automation processes
• Participated in Agile delivery and code review activitie

• Designed ETL workflows, data models, and reporting solutions for enterprise analytics
• Collaborated with onsite/offshore stakeholders for requirement analysis and delivery
• Developed SSRS reporting and automation solutions supporting global operations

U.S. Bank / Syncada Platform
• Developed and optimized SSIS ETL workflows for enterprise payment processing systems
• Performed technical design, performance tuning, and integration development
• Collaborated with client stakeholders on requirement analysis and implementation

Vodafone M-Pesa
• Developed SSIS packages for incremental and delta data loads from
heterogeneous data sources
• Optimized SQL queries and ETL processing performance
• Participated in Agile SDLC and technical design activities

• Developed SSIS/SSRS solutions supporting enterprise resource management
operations
• Improved ETL job performance and reporting automation
• Coordinated with business teams and supported enterprise reporting initiatives