Kushal Shah
@kushalshah2
I build Azure data pipelines and governed analytics datasets at cloud scale.
What I'm looking for
At LTIMindtree, I build Azure Databricks and Airflow ELT pipelines that process 1.8TB daily across APIs, cloud storage, and databases. My work cut batch runtime by 42%, reduced compute cost by 31%, and raised reliability to 99.8%.
I translate finance, sales, and operations requirements into source-to-target mappings, dimensional data marts, and governed self-service Power BI reporting. I’ve also implemented Unity Catalog governance, role-based access controls, lineage, metadata management, and CI/CD releases through Azure DevOps and Databricks Asset Bundles.
Previously at Mphasis, I built centralized analytics pipelines, modernized Databricks workflows, and optimized SQL to reduce report generation time by 52%. I also use statistical anomaly detection and monitoring to improve data quality and reduce production issues.
Experience
Work history, roles, and key accomplishments
Built ELT pipelines in Python, PySpark, Azure Databricks, Delta Lake, and Airflow processing 1.8TB daily, cutting batch runtime 42%, lowering compute cost 31%, and raising reliability to 99.8%. Authored business requirements documents and source-to-target mappings for 20+ pipelines, and engineered statistical anomaly detection reducing production data issues by 48%.
Education
Degrees, certifications, and relevant coursework
Sheridan College
Diploma, Computer Engineering
Pursuing a Computer Engineering Technician diploma at Sheridan College in Ontario, Canada.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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