Rayan Mohammed

Senior Data Engineer @Univercell

Toronto, ON, CA

Designed and implemented high-performance ETL pipelines using Azure Data Factory (ADF) and Databricks, ingesting structured & semi-structured data (POS, CRM, marketing) into Azure Data Lake for advanced analytics.• Developed PySpark notebooks for large-scale transformations, data cleansing, and incremental loads; reduced manual intervention by 70% and improved pipeline reliability.• Integrated Salesforce, Freshworks, and POS systems into a unified Azure SQL & Synapse environment for enterprise reporting.• Orchestrated real-time and batch workflows using Apache Airflow DAGs, adding automated retries, failure alerts, and dependency handling.• Implemented streaming solutions with Azure Event Hubs and AWS Kinesis for near real-time ingestion of transactional and marketing events.• Automated CI/CD using Azure DevOps and GitHub Actions to deploy data pipelines, notebooks, and scripts with environment-based approvals.• Designed data models (Star & Snowflake schemas) to power BI dashboards and improve query performance for executives and business units.• Enforced data governance with tagging standards, RBAC policies, and Azure Key Vault secrets management; supported GDPR/CASL compliance.• Delivered Power BI & Tableau dashboards with dynamic KPI monitoring, supporting strategic and operational decision-making across sales and marketing.• Partnered with data scientists and analysts to enable AI/ML feature engineering pipelines for customer segmentation and marketing optimization.

Osmania University

Bachelor of Engineering - BE

Saskatchewan Polytechnic

Postgraduate Degree