Alexey Grishchenko
Staff Engineer at Datadog
Dublin, Ireland
Summary
👤
Senior🎓
Top SchoolAlexey Grishchenko is a Staff Engineer with 11+ years building and operating large-scale distributed data systems, currently shaping Datadog’s Event Platform after a decade of technical leadership at Google on planet-scale archival storage and OLAP SRE teams. He combines deep kernel-level understanding of RDBMS, transactions and consensus algorithms with hands-on experience across Hadoop, Spark, MPP databases, NoSQL and real-time streaming, often implementing Lambda-style architectures for low-latency analytics. A pragmatic architect and evangelist, he has been a core contributor to Apache Spark and helped add PostgreSQL JSON/JSONb support and PySpark SQL fixes, showing strong Python and database integration skills. Alexey has led product and engineering efforts at Pivotal and Greenplum, bridging product management, C-level customer proof-of-concepts and low-level C/Python coding. Based in Dublin, he writes about distributed systems at 0x0fff.com, signaling a habit of turning production lessons into public technical insights. Colleagues know him for solving petabyte-scale performance problems without losing sight of developer ergonomics and operational resilience.
11 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Moscow State University of Instrument Engineering and Computer Sciences (MGUPI)Bauman Moscow State Technical University
Английский, Русский
Stackoverflow
4,988reputation
553kreached
113answers
0questions
apache-spark
top-1%
caching
top-5%
hadoop
top-1%
Github Skills (19)
apache-spark10
spark10
python10
big-data10
pyspark10
hadoop10
sql10
caching9
jdbc9
apache-kafka6
javas6
query-optimization6
mapreduce6
hdfs6
scala6
Programming languages (3)
Github contributions (5)
apache/spark
Jan 2015 - Oct 2015
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 PRs, 19 comments in 9 months
Contributions summary:Alexey primarily contributed to the PySpark SQL functionalities, addressing issues related to timezone handling in DataFrame filters and DateType support in JDBC connections. They fixed bugs and added features such as exponential operator support for `Column` objects. The user demonstrated strong Python skills by implementing code changes, writing regression tests, and addressing issues related to data type handling. Furthermore, the user added support for PostgreSQL's JSON and JSONb data types.
analyticspythondata-processingsqlapache
0x0FFF/gpdb
Nov 2015 - Aug 2016
Contributions:2 PRs, 26 pushes, 12 branches in 8 months
sqlgreenplumpivotaldatabasegreenplum-database
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