Senior Data Engineer / Analytics Engineer with Microsoft Fabric exp.

Data Architecture & Engineering

• Architect and develop scalable Microsoft Fabric data solutions including OneLake, Lakehouses, Data Warehouses, and Real-Time Analytics.
• Design and implement robust medallion architecture (Bronze/Silver/Gold) for ingestion, transformation, and consumption.
• Build and optimize ETL/ELT pipelines using Data Factory in Fabric, Spark notebooks, Eventstreams, and Pipelines.
• Develop high-performance Dimensional/Star Schema and analytics-ready semantic models.

Analytics Engineering

• Build curated semantic models using Power BI in Fabric and DirectLake.
• Create reusable data marts, data transformations, DAX measures, and BI-ready data structures.
• Partner with Analysts and product teams to enable self‑service analytics at scale.

Data Quality, Governance & Operations

• Implement data quality rules, observability, and monitoring frameworks.
• Define and enforce governance standards including lineage, cataloging, access control, and security using Purview integration.
• Optimize storage, compute, and performance across Fabric workloads.
• Support CI/CD, DevOps, and deployment automation for Fabric artifacts.

Collaboration & Leadership

• Lead technical design sessions and mentor junior engineers.
• Work with stakeholders to translate business needs into scalable data solutions.
• Advocate best practices for cloud data engineering and Microsoft Fabric adoption.