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Data Engineer with 8+ years in Azure Data Solutions & Microsoft Fabric
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Assessing your cultural and operational fit
Experienced Azure Data Engineer with 8+ years in designing and implementing scalable data solutions on Microsoft Azure and Microsoft Microsoft Fabric. Developed 50+ ETL pipelines and automated data quality checks, improving reporting accuracy by 30%. Ingested 10M+ daily records and designed 15+ automated data pipelines, enhancing data processing throughput by 40%. Expertise in Azure Data Factory, Databricks, Microsoft Fabric, and data governance practices. Proven ability to optimize data storage costs and ensure GDPR compliance through Azure Purview.
SR Engineering College
B-Tech · Computer Science Engineering
August 1, 2012 – June 30, 2016
General Motors
Azure Data Engineer
September 1, 2023 – May 1, 2026
India
VInsure
Data Engineer
August 1, 2020 – September 1, 2023
India
Heavy Nutrition
Data Analyst
October 1, 2017 – August 1, 2020
India
Cultural Fit Analysis
The candidate's experience across different companies (General Motors, VInsure, Heavy Nutrition) and roles (Data Analyst to Azure Data Engineer) indicates adaptability and a broad understanding of data ecosystems. The emphasis on collaboration, Agile methodologies, and adherence to compliance standards (GDPR) suggests a good cultural fit for structured, team-oriented environments. The progression from Data Analyst to Data Engineer shows a growth mindset and continuous skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through extensive experience in Agile/Scrum environments, collaboration with analytics and ML teams, and a focus on delivering actionable insights. The resume highlights problem-solving skills through optimization efforts and data quality improvements. The detailed descriptions of project contributions suggest a proactive and results-oriented approach.