Key Responsibilities
Data Pipeline Development
Design and build scalable ETL/ELT pipelines for contemporary data platforms in MS Fabric.
Develop automation solutions using Python and PySpark.
Implement cloud-native data pipelines on Azure.
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.
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.
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