Saad A.
Machine Learning Engineer
One of Saad’s most notable achievements was leading the development of a natural language-to-SQL solution integrated with a semantic layer on Snowflake, empowering enterprise users to interact with data intuitively and efficiently.
Saad stands out for his ability to bridge the gap between complex machine learning workflows and real-world business needs, ensuring that advanced AI capabilities translate into measurable impact.
Main expertise
Pinecone1 year
LlamaIndex2 years
Weaviate1 year
Haystack1 yearExperience4
Lead Data Scientist
- Built scalable ETL pipelines using Azure Data Factory, PySpark, and SQL, ensuring efficient and reliable data integration across multiple systems.
- Implemented and maintained both EDI and non-EDI data exchange solutions, enabling seamless communication between external partners and internal systems.
- Optimized stored procedures within Azure SQL and utilized Application Insights for real-time performance monitoring and continuous improvement.
- Developed serverless Azure Functions in C#/.NET, integrating with Cosmos DB, Service Bus, and Storage Accounts to deliver secure, low-latency data workflows.
- Led cross-functional project delivery for enterprise clients, including New Balance, ensuring technical alignment, effective collaboration, and on-time execution.
MSSQL
Python
SQL
Student worker
- Built interactive Tableau dashboards to monitor and visualize key performance metrics for the Controlling and Finance departments, empowering stakeholders with data-driven insights for informed decision-making.
Scrum
Git
Tableau
Senior Consultant - Data Engineering
- Built scalable ETL pipelines using Azure Data Factory, PySpark, and SQL, ensuring efficient and reliable data integration across multiple systems.
- Implemented and maintained both EDI and non-EDI data exchange solutions, enabling seamless communication between external partners and internal systems.
- Optimized stored procedures within Azure SQL and utilized Application Insights for real-time performance monitoring and continuous improvement.
- Developed serverless Azure Functions in C#/.NET, integrating with Cosmos DB, Service Bus, and Storage Accounts to deliver secure, low-latency data workflows.
- Led cross-functional project delivery for enterprise clients, including New Balance, ensuring technical alignment, effective collaboration, and on-time execution.
PostgreSQL
C#SQL
Azure
Software and Analytics Engineer
- Developed a robust Customer Experience Platform for major automotive clients—including Toyota Motor Europe, Toyota Motor Canada, and Nissan Canada—using Microsoft SQL Server as the core data platform.
- Built backup utilities in C# and Python to safeguard processed data, ensuring system resilience and disaster recovery readiness.
- Engineered a hybrid data infrastructure integrating SQL Server and MongoDB, which significantly enhanced data retrieval speed and overall operational efficiency.
- Designed and implemented SQL Server Integration Services (SSIS) packages to streamline system-level operations, enabling efficient data migration and complex query execution.
MongoDBMSSQLPythonC#SQLAssessments
Engineering excellence
Saad’s overall performance in a 90-minute live technical assessment ranks in the top 5% of vetted Machine Learning Engineers at Proxify.
Education
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