La Poste
Ghazi Ben Ahmed
La Poste
Data engineer · 2017–2019
300M+ tracking events a day, ingested 10x faster
Parcel tracking produced a flood of events, to be ingested fast and in line with GDPR.
My part
I developed a generic ingestion platform on Kafka and Spark, and built it private by design.
What the team delivered
The foundation for all of La Poste’s logistics data
Storage costs cut by 60%
GDPR compliance with query performance kept
Stack: Kafka · Spark · Scala · Matryoshka · HDFS · Cassandra
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Posted Oct 24, 2026
Developed a Kafka+Spark ingestion platform, private-by-design for GDPR, ingesting 300M+ tracking events/day and reducing storage costs by 60%.
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