Design & Architecture: Lead the design and implementation of scalable data pipelines, data warehouses, and enterprise-grade data solutions leveraging Microsoft Fabric.
Data Pipeline Development: Develop and optimize complex ETL/ELT processes to ingest, transform, and load data from various sources into the Fabric setting.
Data Governance & Security: Establish and enforce data integrity, quality, and security best practices, including workspace architecture, user access controls, and compliance with privacy regulations.
Data Modeling & Reporting: Build and maintain semantic data models and interactive dashboards using Fabric tools and Power BI.
Collaboration: Translate business requirements into technical solutions by working closely with data scientists, analysts, and business stakeholders.
Platform Management: Architect and manage Fabric workspaces, user roles, permissions, and licenses to ensure effective and secure operations.
Monitoring & Optimization: Proactively monitor, troubleshoot, and fine-tune data pipelines and workflows for peak performance and efficiency.
DevOps & Automation:



Integrate DevOps practices, including CI/CD pipelines, version control, and automation using scripting languages like Python or PowerShell.
Mentorship: Provide technical leadership and mentorship to junior engineers, transferring knowledge on Microsoft Fabric technologies and best practices.
Key Technologies & Concepts
Microsoft Fabric: The core platform for up-to-date data analytics.
Azure Data Factory & Synapse Analytics: Tools used for data integration and big data analytics within Fabric.
OneLake: The unified data lake within Microsoft Fabric for storing and managing all types of data.
Power BI: Used for building interactive dashboards and reports.
Medallion Architecture: An architectural pattern for building clean and organized data lakes.
Microsoft Purview: For data governance and compliance.
Python & PowerShell: For automation and scripting.
Terraform & Ansible: For Infrastructure as Code (IaC)

📌 Microsoft Fabric Senior Data Engineer Hyderabad
🏢 Tata Consultancy Services
📍 Hyderabad