Illa rasool
@illarasool
I build trusted cloud analytics platforms from complex enterprise data.
CanadaWhat I'm looking for
At MDA Space, I build analytics-ready data models and Databricks pipelines that turn enterprise data into trusted Power BI reporting. I use Azure Data Factory, PySpark, Spark SQL, Delta Lake, and SQL to orchestrate ingestion, transformation, validation, and semantic models.
Previously at Ford Motor Company, I worked across data engineering and analysis, helping reduce ETL processing time by 40%, lower inventory costs by 15% through predictive analytics, and integrate 12+ data sources into unified lakehouse platforms. I enjoy solving hard data problems where performance, cost, reliability, and business outcomes matter.
Experience
Work history, roles, and key accomplishments
Key Achievements:
• Developed analytics-ready data models in Azure Databricks using PySpark, Spark SQL, and Delta Lake (bronze/silver/gold layers), enabling consistent and high-performance consumption by Power BI.
• Designed and owned Databricks-based analytics pipelines, ingesting and transforming data from multiple enterprise sources via Azure Data Factory into Delta Lake, forming the foundatio
Worked as a Data Engineer at Ford Motor Company, focusing on data engineering tasks.
End To End Data Ecosystem Specialist (Data Engineering, Data Analysis)
Assisted in research studies, applying data science and analytics skills.
Education
Degrees, certifications, and relevant coursework
Punjab Technical University
Bachelor of Technology, Electronics
Yeungnam University
Master of Engineering, Computational Science
2015 - 2017
Tech stack
Software and tools used professionally
Availability
Location
CanadaAuthorized to work in
Job categories
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