Devanshi Jain

Performed as a team member on an agile team focused on software delivery and support. Expertise in Transforming and Migrating data from On-premises to Azure Cloud. Leveraging Azure Data Lake ACLs, the security was also implemented and automated based on the different BUs categorized using Azure AD Groups. The CDM folders inside of ADLS were used by the respective Data Analysts for further reporting and dashboarding for the business users. Designing & implementing medium to large scale BI solutions on Azure using Azure Data Platform services (Databricks, ADLS, ADF, Data Lake Analytics, Azure SQL). Better Understanding of Azure Data Factory and Azure Databricks for ETL process with and automate that process. Technologies – C#, Docker, Kubernetes, Azure Cloud, Azure Devops, GIT, ADLS, ADF, Power BI, Airbyte.

Worked on Microsoft Universal Gateway to integrate and manage BACnet devices- Air Quality systems, HVAC devices over Modbus, Lighting devices. Worked with hardware team to design the hardware matched for client need. Designed data model to store application metadata and IoT sensor data in JSON format. Proposed architecture for various use case scenarios for Smart Building Management which consist of various IoT sensors. Developed the system systematically through documentation (flowcharts, layouts, etc) and addressed use cases through creative solutions. Have knowledge about iBEMs platform. Technologies – Azure Cloud, IoT edge, Docker, Azure Key Vault, Azure Data Explorer, Azure Service Bus, Azure Event Hub, Python.

Project- Memory analysis and Log enhancements (Logging Utility). Enhancement of Logging for accessible boxes (dev boxes available locally as well as for boxes available remotely): Phase-1: Android App development to configure logs. Phase-2: Log viewer Tool. Phase-3: Analysing the Logs through Machine Learning Techniques. Actively participated in troubleshooting, debugging and updating current functionality. Collaborated and assisted in creation and testing of new software applications. Technologies – Java, Android, Machine Learning.