Technical lead of data formats.

Most recently, led a team that helped domain experts make sense of large datasets by providing visualization and self-service analysis tools for Hadoop. Responsible for daily cluster operations as well as data ingest, cleaning, and validation. Led development on a Java-based framework that enabled experts to write MapReduce pipelines in ruby or python and use built-in machine learning algorithms. Taught domain experts to use Hadoop and consulted on analysis problems.As a software engineer on a large distributed data store, built core network components then analyzed and fixed performance problems that led to a 4x performance increase. Improved overall reliability by increasing test quality and coverage, resulting in fewer bugs and regressions.Worked in both network protocol analysis and intrusion analysis.