Description

Key Responsibilities: 
Design and implement data architecture solutions for data-centric projects.
Lead the development of enterprise data strategies, standards, processes, and tools.
Create real-time analytics models using DataBricks for actionable insights.
Manage and schedule data pipelines in Azure Data Factory for seamless data ingestion.
Optimize data processing and perform transformations using Apache Spark, Scala, and Python.
Implement Delta Lake and Adaptive Query Execution frameworks for efficient data handling.
Ensure data security by implementing dynamic data masking in Azure SQL DB.
Generate insightful reports using Power BI for data visualization.
Maintain pipeline schedules, triggers, and logs for effective data management.
Collaborate with cross-functional teams to integrate data communication across platforms for enhanced data insights and decision-making.

Education

Any gradudate