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Vishal Boraste

@vishalboraste

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Data Engineer with 3.7 years building scalable Azure/Fabric pipelines for analytics and faster decisions.

India

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What I'm looking for

I’m looking for a role where I can build and optimize scalable Azure/Fabric data pipelines and ETL, improve performance and data quality, and deliver cost-effective analytics. I want strong collaboration and room for continuous learning.

I’m a Certified Data Engineer with 3.7 years of experience designing and implementing scalable data solutions for healthcare and banking clients. I specialize in building data pipelines, data lakes, and data warehouses, and I focus on production-ready performance and reliability.

In my roles, I’ve delivered measurable impact—like reducing project costs by around 20%, increasing data retrieval speed by 50%, and improving data accuracy by 30% through innovative data integration. I build ETL pipelines and data processing frameworks using Microsoft Fabric, Azure Data Factory, Azure Databricks, and Spark-based processing.

I’m also hands-on with optimization and deployment practices, including Spark performance tuning and DevOps/CI/CD approaches for continuous delivery. I enjoy collaborating with cross-functional teams to translate business requirements into efficient data architectures and actionable insights.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Orion Innovation

Jul 2025 - Present (9 months)

Led a cloud migration to modern Big Data technologies, increasing data retrieval speed by 50% and improving operational efficiency. Built PySpark/Spark SQL solutions and Azure Data Factory ETL pipelines, processing 500,000+ records daily and improving data accuracy by 30%, while reducing data processing time by 25% through performance tuning.

Pyspark Azure Data Factory Microsoft Fabric ETL Big Data Data Migration SQL Azure

Data Engineer

Hvantage Technologies

Oct 2024 - Jul 2025 (9 months)

Implemented a three-layer Medallion architecture (Bronze/Silver/Gold) in Microsoft Fabric, ensuring data integrity for 1M+ healthcare records aligned to FHIR standards. Automated end-to-end ETL using Fabric Lakehouses, Data Pipelines, and Dataflows Gen2, reducing data latency by 30%+ and improving processing performance by 40% with query efficiency gains of 25% via Spark SQL and notebook optimizat

Microsoft Fabric Pyspark SQL Data Pipelines Dataflow ETL FHIR

Data Engineer

Intertrust Group, a CSC Company

Apr 2022 - May 2023 (1 year 1 month)

Engineered and deployed robust data pipelines and ELT processes to improve data extraction and transformation efficiency for operational analytics and reporting.