SAHIL GARG

Expertise in Insurance space. Built end-to-end dynamic pipelines to fetch and process large amounts of data from legacy on-premise systems, manual files and private API end-points. Implemented an end-to-end framework based on Databricks for fetching data from various sources, processing it (Bulk as well as CDC), calculating the summary data and storing in delta live tables along with comprehensive logging capabilities. Managed complex data sets and processed these data sets to establish complex business logic and maintain data integrity. Experience working in an Agile environment and assisting in key stages of the project. Implemented checks for Data Validation (Data model constraints) using Databricks and Stored Procedures at each step of the pipeline. Increased performance by 50% by refactoring old stored procedures and reducing the LOC. Leveraging Azure DevOps to maintain code repositories and pipeline migration across environments.

Got certified by Hewlett Packard Enterprise in Machine Learning and Deep Learning upon completion of my training. Learned about frameworks such as NumPy, Pandas, scikit learn, Keras, and TensorFlow. Worked on multiple small-scale projects based on the frameworks that I learned.