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

Presentations

SQL Top-N and pagination pattern (IOUG)

Finding SQL execution outliers

2015 555 kharchenko_ppt

Commit2015 kharchenko - python generators - ext

Visualizing ORACLE performance data with R @ #C16LV

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

Hadoop databases for oracle DBAs

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

Likes

Understanding my database through SQL*Plus using the free tool eDB360

Serialization and performance by Sergey Morenets

Debugging microservices in production

Connecting Hadoop and Oracle

Ibis: Scaling Python Analytics on Hadoop and Impala

Kafka for DBAs

Database Performance Analysis with Time Series

Scaling ETL with Hadoop - Avoiding Failure

Introduction to Parallel Processing Algorithms in Shared Nothing Databases

Analytic SQL Sep 2013

Linux Performance Analysis and Tools

Monitoring IO performance with iostat and pt-diskstats

Ssd collab13

User eXperience

Visualizing database performance hotsos 13-v2