Led the test-driven development of Multibatch Data Injesting using Enterprise Data Lake and Data Fabric Tools to mask and provide streamlined data for Analytics in Spark and Python.

Spearheaded the development of an automation script that flagged and cleaned up redundant clusters on Databricks and AWS, including over 10,000+ datapoint services, enriching internal data, and reducing cluster load.Refactored code to improve modularity in AWS S3 buckets, and Glue Jobs for the Engineering Team.

Teaching Assistant for Distributed Operating Systems and Principals (COP5615) during Fall of 2022

Teaching Assistant for Database System Implementation (COP6726) during Spring of 2022

Lead to a cumulative increase of 340,000 USD monthly by engineering and managing various cloud-based modules using software design patterns (Web Technologies, Test Driven Development) such as integrations and feature development for fintech clients.Experienced in writing SQL queries for data imports through API, Migration, and Response Testing.Achieved a 3% increase in conversions by building custom integrations based on open APIs with the client teams.Developed automation scripts in Python for AT and UAT for the feature set developed by the technical team to ensure a consistent level of implementation, integration, and post-production support.

Developed a compact printing feature using Javascript (React, Prototype JS) and HTML(Handlebars) for the B2B platform to minimize the size of printed labels by 40%, saving approximately 5 INR per package within the warehouse. Built sprints and related architectural flows and modules using JIRA for integrating the Warehouse Management System solution with analytics layers to optimize and generate insights while predicting logistics speed bumps