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Kushal Shah

@kushalshah2

I build Azure data pipelines and governed analytics datasets at cloud scale.

Canada
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What I'm looking for

I'm looking to build governed, cloud-scale data platforms and analytics products where I can partner with business stakeholders, improve data quality and performance, and deliver trusted self-service reporting.

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

LT
Current

Data Engineer

Sep 2024 - Present (1 year 11 months)

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 logoSC

Sheridan College

Diploma, Computer Engineering

Pursuing a Computer Engineering Technician diploma at Sheridan College in Ontario, Canada.

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