- Built a team of wonderful human beings who are passionate about their Data Engineering work. - Owns and maintains multiple Redshift clusters running over 500k queries per month dealing with ~20 PB data. - Supports an org of ~7k active data users and guide them in optimizing their queries in Redshift/SQL and Elastic infrastructure. -Leads the team responsible for publishing multiple standardized datasets

- Architected and led the team in building the serverless solution using SQS- Lambda- Tableau- Dynamodb- Snowflake to generate powerpoints customized to clients.- Built a serverless(lambda) solution to track hourly clickstream files landing on S3 and to trigger an EMR job to process these files when an appropriate threshold is met, and a subsequent (low priority) EMR to track the various tags that are fired on every page and a report that gives insights/alerts when a tag is populated incorrectly.- Built(and contributing to) a python library artifact that comprises all the common code(auth, logging, etc.) used by the team, promoting code reusability- Built a lambda that tracks EMR without any running applications/steps and notifies the owning team by SNS notification. Tracks all Egencia EMR jobs, resulting in saving ~1000$ a month on wayward EMR charges.- Created a customizable lambda that spins up the EMR based on the user that is triggering the job- populate appropriate tags, use latest egencia ami, as well as pull in desired Pem keys.

- Built a Hadoop/MapReduce process on Java to ETL the clickstream data logs (~40G a day) and load them into DW.- Furthermore, built a Site Experimentation framework to do a detailed historical analysis of Multi Variant Testing and A/B testing on user activity on the website.

- PHP-based backed for tracking programs.- JQuery and CSS for site beautification, AJAX for autofill, etc.

Java Programmer in Amazon Web Services

Embedded system programming