Hi, I'm

Kushal Shah

Data Engineer

Results-driven Data Engineer skilled in Azure, PySpark, and ETL pipelines to build scalable data systems and optimize analytics performance.

1+

Years Of Experience

5+

Projects Completed

500+ GB

Data Processed Daily

My Skill Set

I Provide Wide Range Of Data Engineering & Cloud Analytics Skills

Data Engineering & ETL Development

Developing scalable ETL pipelines using Azure Data Factory and Databricks to process large datasets efficiently and ensure data reliability.

Cloud Data Platforms & Architecture

Designing cloud-based data architectures using Azure Data Lake, Delta Lake, and Databricks ensuring scalability, governance, and high-performance analytics.

Data Optimization & Performance Tuning

Optimizing SQL queries, cluster configurations, and data pipelines to reduce latency, improve processing speed, and enhance system performance.

Why Choose Me

My Experience Area

Data Engineering (Azure, Databricks)
95%
SQL Optimization (Databricks SQL)
90%
Cloud Platforms (Azure Data Lake, Delta Lake)
91%
CI/CD (Azure DevOps, Workflows)
87%
ETL Pipelines (ADF, PySpark)
92%
Data Modeling (Star Schema, SCD Type 2)
88%
Data Governance (Unity Catalog, ACID)
85%
Visualization (Power BI Dashboards)
90%

Projects

My Amazing Works

Experience

Arihant eSolutions

Data Engineer
September 2024 – Present

Roles & Responsibilities

• Developed ETL pipelines using Azure Data Factory and Databricks processing 500GB+ daily data reducing storage costs by 25%.

• Engineered SQL transformations reducing execution time by 40% through query optimization and indexing techniques in Databricks environments.

• Designed Power BI dashboards visualizing 15+ KPIs enabling real-time monitoring and improved business decision-making processes.

• Implemented CI/CD pipelines using Azure DevOps reducing manual deployment effort by 50% across 10+ enterprise data projects.

• Established data validation frameworks reducing data errors by 35% across 20+ sources using Unity Catalog governance standards.

• Orchestrated ingestion workflows processing 2TB+ monthly data ensuring efficient data flow across multiple enterprise systems.

• Optimized Databricks clusters reducing compute costs by 30% while maintaining performance across 50+ concurrent workloads.

• Built dimensional models improving query performance by 60% supporting analytics use cases and faster reporting delivery.

• Automated monitoring workflows achieving 99.5% uptime reducing incident response time by 45% using Azure monitoring tools.

• Migrated 8 databases to Azure cloud infrastructure improving latency by 20% ensuring zero data loss during transition.

DEGREE

EDUCATION

Computer Engineer Technician

August 2023 – September 2025

Brampton, ON, Canada

Professional Recognition & Feedback

Exceptional Data Engineering Expertise

Delivers scalable data pipelines and cloud architectures, consistently improving performance, reliability, and data processing efficiency across enterprise systems.

Senior Engineer

Data Engineering Lead

Strong Problem-Solving Skills

Demonstrates strong analytical and technical abilities, optimizing data systems and delivering efficient solutions aligned with business and operational goals.

Manager

Technology Manager

Phone

+1 (289)-541-3283

Mail Id

kushal28shah@gmail.com

Address

Canada