Position: Big Data Developer
Category: SQL
English level: intermediate
Years of experience: 2

All projects were special in their own way, but what is most pleasing to me is that I helped large companies optimally store data and accelerate transaction processing
Strong knowledge of Hadoop tools for storing, processing, analyzing and automating ELT / ETL processes. I developed threads for processing transactions of various formats (Json / Xml / FlatFile) received from external systems (file systems, message brokers, etc.) in real time (or via system event / cron). I Designed DB architectures for storing Raw-data as well as logging intermediate stages of transaction processing systems. I set up processes for periodic (incremental) import and complete data transfer from external relational databases to the Hadoop ecosystem. Conducted joint UAT tests with international teams. I have experience in transferring stored procedures from Oracle to MySQL, as well as writing stored procedures using the SQL-92 standard for ETL processes and automating the transfer of data from various sources to Hive. I built reports for data visualization. I conducted training on the customer side after the implementation of projects.
I want to continue to work and develop rapidly in the direction of big data and also work with cloud solutions, such as Amazon Web Services