A Data Engineer with 4+ years of experience working on data-intensive applications that are challenging. I like creating solutions that are simple, functional, and scalable. My areas of expertise are Data Warehousing, OLAP, ETL, Business Intelligence, building API services. I have had the opportunity to recently work on designing services using a single table design on DynamoDB and AWS Lambda. Some of the tools I am familiar with are Redshift, Airflow, Pandas, Flask, Druid, Metabase, Spark, Kafka, SQL, MongoDB. Had Managed everything related to data at a high-velocity startup including creating, managing a centralized data warehouse on Redshift, Automation of sharing data with partners, data quality checks using Python, Airflow. Developed and Curated a Business Intelligence system, training various internal users including investors, democratized the data helping the organization be data-driven A physicist by Education and Developer by passion, was a Full stack engineer in a previous life, worked on few Javascript Charting Libraries, Backbone.js and built services on Java Spring, MongoDB, and MySQL Just getting started on my Machine Learning Journey, had an opportunity to create an Email Classification program with Random Forests using Word2Vec and Spark MLlib and Java Jersey