Description

Azure Data Engineer with 5 years of experience designing and building scalable cloud data platforms on the Microsoft Azure ecosystem. Specialized in Azure Data Factory, Azure Databricks, PySpark, SQL, and ETL/ELT pipeline development for enterprise-grade data integration and analytics solutions.

Experienced in developing robust batch and real-time data pipelines, optimizing large-scale data processing workflows, and modernizing legacy data infrastructures into cloud-native architectures. Strong background in data warehousing, performance optimization, automation, and data platform reliability.

Worked with cross-functional teams to deliver data-driven solutions for analytics, reporting, and business intelligence initiatives. Passionate about building efficient, scalable, and maintainable data systems that support business growth and operational efficiency.

Domaines d’expertise

Langues

Anglais
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km), Grenoble (jusqu’à 10 km), Nice (jusqu’à 10 km), Toulouse (jusqu’à 10 km)

VH Global Technologies Pvt Ltd
Data Engineer
AGENCE & SSII
janvier 2021 - Aujourd'hui (5 ans et 5 mois)
Hyderabad, Inde
5 years of experience as an Azure Data Engineer designing and developing cloud-based data solutions
Strong expertise in Azure Data Factory (ADF) for ETL/ELT pipeline development and orchestration
Hands-on experience with Azure Databricks, PySpark, and Apache Spark for large-scale data processing
Experience working with Azure Synapse Analytics and Azure SQL Database for data warehousing solutions
Proficient in Azure Data Lake Storage (ADLS) for handling structured and unstructured data
Skilled in SQL, T-SQL, and Python for data transformation, analysis, and automation
Developed scalable batch and real-time data pipelines for enterprise applications
Experience in data migration projects from on-premises systems to Azure cloud platforms
Strong understanding of data modeling, data cleansing, and data integration techniques
Worked with REST APIs and multiple data sources for seamless data ingestion
Experience implementing CI/CD pipelines using Azure DevOps for automated deployments
Knowledge of performance tuning, pipeline optimization, and cost-efficient cloud architecture
Collaborated with business analysts, developers, and stakeholders to deliver data-driven solutions
Familiar with data governance, monitoring, security, and best practices in cloud environments
Experience integrating reporting and analytics solutions with Power BI dashboards and reports