Data science and engineering, databases and complex analyses
Database technology professional, experienced with a wide range of relational and NoSQL database platforms (Oracle, SQL Server, MySQL, Postgres, Redshift, MongoDB, VoltDB and more).
Experience with all database functionalities, and disciplines, including database system design, data system scaling, transactional systems, data warehousing, performance tuning, backup and recovery, database programming, ETL, and data workflow management.
Strong experience in spatial and social data analyses, time series analyses techniques, data science methods for clustering and classification problems.
Developed frameworks to handle large sets of data ( 20-30 TB ) using relational and columnar databases.
Experience in creating complex data pipelines and automation of data discovery.