Maxym Kharchenko

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Experienced database engineer and Python developer. Proven track record of building highly performant and available distributed data management systems using commodity components. Frequent speaker at local and international conferences. OCM, ORACLE Ace Associate, AWS Certified Developer Distributed Systems, High Volume OLTP, Data Warehousing, Replication, Streaming, Sharding Python Hive, Impala, Spark ORACLE AWS Data Visualization Java, Scala, R, SQL, PL/SQL, C, C++ Parquet, Avro, ORC Cloudera, Hortonworks, MapR ORACLE Data Guard FSF, RAC Mysql, Postgresql Perl, Database kernel, Database drivers Linux, AIX, Windows

oracle sql big data c16lv database python performance oltp logs sql engines glue athena aws c17lv hive dba impala hadoop spark sharding visualization r python oracle data generator streaming development c15lv metrics database pattern top-n

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Maxym Kharchenko

Build a DataWarehouse for your logs with Python, AWS Athena and Glue

Hadoop databases for oracle DBAs

How to scale relational (OLTP) databases. Think: Sharding @C16LV

Visualizing ORACLE performance data with R @ #C16LV

Commit2015 kharchenko - python generators - ext

2015 555 kharchenko_ppt

Finding SQL execution outliers

SQL Top-N and pagination pattern (IOUG)