About
I’m Ibrahima Fall, a senior data engineer and data architect based in Paris. I’ve spent the last decade building data platforms (at BPCE, Decathlon, Renault, Société Générale, and others), mostly in finance and retail, mostly on GCP and AWS, with Spark and Kafka somewhere in the middle.
I write here about the work: how data systems actually behave at scale, what breaks, what’s worth optimizing, and how the job is changing now that LLMs are part of the stack.
Currently
Freelancing through my own structure, focused on data architecture and platform engineering for clients with serious cloud cost problems. Open to staff-level engagements, advisory work, and conversations with founders building data-heavy products.
I’m also building Oniloo, an event management platform.
Selected work
Earlier: data engineering at Société Générale, Natixis, Galeries Lafayette, and a brief stint as a data scientist at Orange. Full history on LinkedIn.
Stack
GCP (BigQuery, Bigtable, Pub/Sub, Dataproc, Composer), AWS (EMR, MSK, S3, Glue, Lambda, Redshift, EKS), Spark, Kafka, Scala, Python, dbt, Terraform. Recently spending more time with LLMs as part of the data stack, both as tools and as a new category of system to design around.
Education
ENSIIE, Engineering degree (2013–2016)
Université Paris-Saclay, Master TRIED (2015–2016)