Key Responsibilities:
1. Data Pipeline Development
• Design and build scalable ETL/ELT pipelines for up-to-date data platforms in MS Fabric.
• Develop automation solutions using Python and PySpark.
• Implement cloud-native data pipelines on Azure.
2. Platform Architecture & Maintenance
• Build and maintain Lakehouse / Data Warehouse architectures.
• Develop and optimize pipelines on Microsoft Fabric.
• Improve performance, cost efficiency, and reliability of existing data systems.
3. AI & Analytics Enablement
• Support AI/ML and GenAI workloads by building data pipelines for model training and inference.
• Collaborate with analytics teams to enable high-quality data models and insights.
4. Inhouse Development
• Desing and developing interactive dashboards.
• Desing and develop inhouse application using Python, Django, PySpark, SQL etc.
• Develop future ready chat bots/natural query base dashboards using different AI models, integrating with fabric data.
• Maintain and support all internal application as per key responsibility.

📌 Data & Automation Engineer - AI & Cloud Data Platforms (Mumbai)
🏢 Hygienic Research Institute (HRIPL)
📍 Mumbai