Mickaël Lacour
Senior Software Engineer at Onfido
Greater Paris Metropolitan Region France
Summary
👤
Senior🎓
Top SchoolMickaël Lacour is a senior software engineer based in Greater Paris with 13 years of experience designing and operating large-scale data platforms. He spent a decade at Criteo building petabyte-scale data warehouses, schedulers and mission-critical pipelines (including billing) and became a Parquet committer while improving Hive integration and complex type support. At Criteo he also led efforts to speed experimentation and developer onboarding by creating production-like containerized workstations and a Mesos-based provisioning system. Now at Onfido he continues to apply that backend and data-systems expertise to reliable production services. Comfortable in low-level performance work as well as user-facing tooling, he blends deep systems optimization with a focus on developer productivity. An early adopter of “Big Data” practices, he pairs a pragmatic, scripting-first approach with open-source collaboration experience.
13 years of coding experience
12 years of employment as a software developer
M.S. in Computer Science, Computer Science, IA, M.S. in Computer Science, Computer Science, IA at Ecole pour I'Informatique et les Techniques Avancées
English, French
Github Skills (7)
parquet10
javas10
deserialization10
hive10
data-serialization10
java10
serialization10
Programming languages (3)
Github contributions (4)
apache/parquet-java
Mar 2016 - Mar 2016
Apache Parquet Java
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 comment in 1 day
Contributions summary:Mickaël's contributions primarily focused on enhancing the Apache Parquet Java library, with a specific emphasis on improving its compatibility and functionality within the Hive ecosystem. Their work involved adapting the library for Hive integration, focusing on the DeprecatedParquetInputFormat and related components. They also addressed issues in the serialization and deserialization processes within the ParquetHiveSerDe, contributing to improved data handling and testing. Furthermore, they began implementing support for complex data types and improving column reading.
avroparquetapachebig-dataapache-parquet
cwensel/cascading
Mar 2013 - Feb 2014
Cascading is a feature rich API for defining and executing complex and fault tolerant data processing flows locally or on a cluster.
Contributions:31 commits in 11 months
fault-tolerantapiflowsparquetdata-processing
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