Worked with Amazon's AWS services (S3, EC2, Data Pipeline and EMR)Created, scheduled, and maintained job deploymentsOptimized pyspark mapreduce jobs to reduce run time in productionStarted integrating data into new database service to provide data in real time to consumers

Managed 100 Windows, Linux, and Macintosh computers for students and faculty.Resolved various hardware and software related issues for users.

Tutor 10+ Computer Science undergraduates per week.Review past lessons, answer specific questions, and clarify difficult concepts.Perform code reviews to ensure readability, correctness, and quality.

Gained experience with AWS and and EC2 instances.Practiced Data Science techniques learned in school and on the job on a large data set. Used pyspark to run MapReduce jobs to transform data and extract meaningful information.Analyzed the effects of different variables on the desired output to decide which variables held the most value.Coded the pipeline for the first release of the new feature.

Designed and documented a plan for an autodetection system.Worked with internal tools/APIs to traverse the code base and analyze files.Worked with Guice and dependency injection.Wrote unit tests and an integration test with JUnit and Mockito.