• Currently working on automating a real-time state of the factory by analyzing the data pertaining to semiconductor wafer data, perform simulations to decrease the WIP and inventory at hand, optimize the amount of big data being processed that gets refreshed to the extent of 500,000 records for every 15 mins. Held on-call responsibilities to detect existing defects in the code base and pin-point the inconsistency in the vast expanse of the code base within a short SLA ; since the nature of problems are mostly experienced in live production environment. • Assisted the team in several loaders for big data, most notably using an in-house application that uses a C# code as a wrapper that connects various database sources and servers across the Intel network so that the use of PLSQL’s ctl files are eliminated (for loading a flat file into an Oracle/PLSQL database) and connections across multiple DB servers is supported without loss of security. • Tested and enhanced the code base by introducing new capabilities dealing with XML output that can be better understood by various customers across Intel’s automation department. • Built a REST API for a python-based dashboard (using highcharts) to display an interactive Dashboard where the Users can overcome their handicap of SQL and just input the parameters directly and get the output in a graph / tabular format that can directly load it into excel (also used JQuery and Bootstrap to build the front End UI)