Zamir Sayyad

• Design, develop, and implement data solutions leveraging Azure Data Factory (ADF), PySpark, Python, Spark, and Databricks.
• Build and optimize data pipelines, ETL processes, and data workflows.
• Collaborated closely with cross-functional teams to gather and understand data requirements.
• Following the agile methodologies.
• Experience working on data migration from SSMS to ADLS.

Project: TIAA SRK.

Domain: Financial institution.

• Develop and maintain data pipelines using Azure Data Factory and Azure Databricks.
• Optimize data processing and storage for performance.
• Optimized data extraction, transformation, and loading (ETL) processes.
• Implement security and compliance measures for data storage and processing.

Project: Vodafone Connect.

Domain: Telecom.

Project Description: Vodafone Connect is a Play Store app that enables retailers to activate prepaid SIMs instantly, mobile number portability, and SimeX.

• Key Result Areas: Process management and monitoring of production services, finding production logs, and automation.
• Communication with clients for requirement gathering, analysis, and continuous application support and maintenance.
• UAT and post-production testing.
• L3 analysis in the case of any issues reported by the client.