Danish Mohammed
Data Architect Engineer @AXIS (AXIS Capital)
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WORK HISTORY
Data Architect Engineer @AXIS (AXIS Capital)
Halifax, NS, CA
Architected the complete enterprise MDM and Reference Data strategy; wrote the foundational syndication code using Azure Service Bus, EventGrid, and Function Apps to govern and syndicate data to a low-latency Redis cache.• Automated the deployment of secure data platforms using Infrastructure as Code (IaC) with Bicep and ARM templates.• Designed the new ‘Submission Intake’ workflow to modernize an email-based process; implemented the core orchestration logic using Azure Service Bus to manage data parsing, CRM integration, and extraction.• Engineered a high-throughput caching pipeline to sync broker records; personally wrote and optimized the Spark transformation by migrating from Pandas to Polars, slashing processing time from 1 hour to 7 minutes.• Designed and engineered a custom data integration solution to extract data from Unqork’s (MongoDB) backend and ingest it into the Databricks Unity Catalog, solving a key integration gap where no native connectors existed.• Architected an AI-driven data extraction pipeline; developed the initial code in Databricks to process unstructured policy documents, execute models, and return AI-generated insights.• Innovated a novel CI/CD process for the Unqork low-code platform, developing the API-driven solution to enable automated, version-controlled deployments from Azure DevOps pipelines.• Acted as the key technical liaison, guiding development teams in the execution of architectural vision and ensuring solutions passed rigorous governance reviews.• Leading a strategic database modernization initiative, managing the transition of core data platforms from Azure SQL Server to PostgreSQL.
EDUCATION
Vidyaniketan High School
High School Diploma, Applied Sciences
Acadia University
Bachelor of Science - BS, Computer Science (Co-op Option)
Osmania University
Bachelor of Technology - BTech, Computer Science
ABOUT DANISH MOHAMMED
Solutions Architect and Solutions Engineer with a proven track record of designing and implementing scalable, event-driven data ecosystems leveraging Azure Service Bus, EventGrid, and Function Apps. Expertise in architecting end-to-end Generative AI solutions using RAG models, Vector Databases, and fine-tuned LLMs. Combines a deep foundation in software engineering (.NET, C#, Python, App Services) with advanced skills in modern data platforms (Databricks, Profisee MDM, Data.world) to bridge the gap between complex business requirements and high-performing technical solutions.
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