• Creating data pipelines and services for Intuit’s customer data platform.

• Built end to end reporting service to extract information from data warehouse and generate reports for clients. Improved performance of these reports by building a query optimizer.

• End to end migration from managed azure synapse to self managed clickhouse, including CI/CD deployment, monitoring and pipeline development. This ended up saving thousands of dollars for the organization.

• Developed multiple data pipelines to faciliate collection of retail media advertising related metrics using ADF, pyspark and databricks. The data was then used for dash boarding, reporting and analytical purposes.

• Graduate teaching assistant for the big data and data science course.

• Designed autograder for the course using python frameworks. Formulated assignments. projects and homeworks which take a deep dive into the world of big data and data science techniques.

• Developed a web application using Django framework and MySQL. Containerised the application and deployed it using docker.

• Implemented multiple time series models such as Prophet and Sarimax and deployed them as micro-services. Used REST principles to enable communication between the web application and the machine learning models.