Chetan Charde Email and Phone Number

 Analyzed, designed and built 2 Near Real Time (NRT) with replay capability data solutions. Implemented streaming with batch processing which is refreshing data in raw layer in less than 5 mins. After developing this we are able to generate required Facts and Dimensions in less than 90 mins compared to existing refresh of 2 times a day. (Tools and Software – Azure EventHub, Azure Synapse, Azure Data Lake, Azure SQL Database, Azure Data Factory) Out of the scope delivered Python based Metadata Job Monitoring Solution which helped in automating daily monitoring of jobs. (Tools and Software – Python on Local Machine) Supported in Azure DevOps for developments, deployments and real time bug analysis and resolution implementations. Assisted Project Managers, Senior Project Managers and Technology Architects on various POC’s, weekly & monthly reports and client presentations.

 Analyzed, Designed and built 7+ projects electrical energy saving reports from the on field IOT devices and sensors. Electricity bill generations for street lighting and power theft identifications were derived based on this data. (Tools and Software – Azure IOT, Azure Data Explorer, Azure Data Lake, Azure Databricks) Worked on 7+ projects field survey data for onsite installations and maintenance. Based on tender conditions analyzed, designed, and built multiple reports for government estimations and approvals. (Tools and Software – Azure Data Lake, Azure Databricks and Excel) Collaborated with all the factory departments, head office and developed data capturing environment using IOT Devices and Excel. Using this data created various reports which were used by business for delivery estimations, purchases, creating device testing reports and factory performance monitoring. (Tools and Software – Python, Azure VM, MQTT, MySQL and Excel) Worked on Project scope analysis, cost estimations, bid preparation and submissions to government and private entities. Delivered training presentations to 150+ staff and 25+ higher government authorities on implemented approach for data flow and reliable data sources to derive high sensitive electrical billing data and derived reports out of it.