• Enhanced the process of creating exposure data from raw policy data using Hadoop, and Scala as per business requirements.

• Engineered a solution to tackle serve space issues by batching requests and caching data, avoiding the cost of vertical scaling.

• Reprogrammed an entire Catastrophe Modeling process in Ab initio to Pyspark which reduced processing time by 85%

• Implemented a hybrid model by integrating existing Python code with Abinitio which reduced 84hrs of load time per year there by reducing manual effort of monitoring the application.

• Implemented multiple end-to-end Data warehousing solutions using Abinitio and Pyspark

• Built a system using Abinitio to mask PII information of customers in policy records

• Spearheaded a service that generates reports which indicate any data loss.

• Built wrapper scripts to ease out the process of production deployment using CI/CD architecture.