Henrietta Dombrovskaya (currently Senior Cloud Consultant at Enterprise DB) is a database researcher and developer with over 35 years of academic and industrial experience. She holds a Ph.D. in Computer Science from the University of Saint Petersburg, Russia. She taught Database and Transaction theory at the University of Saint - Petersburg (Russia), and at the Computer Systems Institute in Skokie, IL as well as multiple database tuning classes for both beginners and advanced professionals.
Her professional experience includes consulting for a number of government projects in Chicago and New York and providing IT and Data services in the financial sector, manufacturing, distribution, and fintech. Her researches in overcoming object-relational impedance mismatch were published in the Proceedings of EDBT 2014 Athens, Greece, and ICDE 2016 Helsinki, Finland. She authored, together with B. Novikov and A. Bailliekova, the book "PostgreSQL Query Optimization", Apress, 2021.
Henrietta is very active in the PostgreSQL community. Starting from January 2017 she leads the Chicago Postgres User Group and she regularly talks at the PostgreSQL conferences. Her contributions to the community include the pg_bitemporal project, which supports two-dimensional time in PostgreSQL, postgres_air training database (the largest open-source PostgreSQL training database), and the NORM technology - the novel way of communications between applications and databases.