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
📍 Mumbai