Harsh has over 10 years of work experience focused on backend development (using cloud infra like AWS, Azure, Salesforce), ETLs (using entire AWS infra), and front end web app development (using React and deployed on-premise infra, Salesforce CRM community builder). He is highly adept at back-end Data Engineering, particularly recently focusing on Snowflake, SQL, Azure, and DBT. Harsh is highly advanced at cloud-based database work and is strong with Azure and Python. In addition to receiving his Masters’ Degree in Computer Science, he has also explored machine learning, modeling, deployment, and even completed the Deeplearning.AI Coursera certification.
Build ETL platform to streamline application data (produced in the staging environment) into an analytics platform called Snowflake. Their internal stakeholders leverage the data to reflect user stories on Tableau or Looker.
Designed a scaled scraper solution for an eCommerce client using Luminati proxy manager, pre-processed scraped data, modeled NLP solution to extract key phrases with Microsoft cognitive API, and developed a classification model using RNN, Glove, and Word2Vec. Built a Salesforce community for a financial institution using lightning web components to help target prospect users.
Designed an application for a healthcare institute on React/Redux to render patient historic visits and backend services on ExpressJS to expose the APIs written in Spring Boot.
Built AWS Lambda service on NodeJS to collect user survey data from the Delighted platform; the service was Dockerized on an EBS container.