Data Engineer

Summary

Data Engineer with 3.5 years of experience architecting scalable ETL pipelines across the finance, life sciences, and logistics domains. Highly proficient in Python, SQL, and PySpark, with deep expertise in Azure Data Factory, Databricks, and Delta Lake. Experienced in building multi-stage data layers (Bronze/Silver/Gold), handling real-time streaming, and implementing metadata-driven incremental loading. Adept at automating workflows, optimizing performance, and delivering business-ready data for executive analytics.

Expectations

Azure Data Engineer

Employment Preferences

Expected Base Salary

**0,000 INR

Expected Total Compensation

**0,000 INR

Academic Degree

Experience

Skills

• Data Engineer
• ETL Developer
• Python
• SQL
• PySpark
• Azure Data Factory
• ADF
• Databricks
• Azure
• Delta Lake
• Big Data
• Data Pipelines
• ETL
• Real-time Streaming
• Batch Processing
• Structured Streaming
• Auto Loader
• Azure Data Lake Storage
• ADLS Gen2
• Azure Functions
• Azure SQL Database
• T-SQL
• PL-SQL
• Oracle
• SQL Server
• Medallion Architecture
• Dimensional Modeling