I am David Millet, a data engineer specializing in designing big data architectures on cloud and on-premises. I oversee data warehouses with data mesh structures, with a strong focus on data security, governance, and regulatory compliance. I support migrations and ensure teams adhere to LPD, data governance, and data lineage frameworks. I optimize streaming, data modeling, and computation costs to deliver scalable, cost-efficient data platforms.
In recent roles at Amaris Consulting and for clients such as Audemars Piguet and Indosuez, I led architecture migrations from Snowflake to Databricks, built end-to-end data pipelines feeding dashboards, and implemented governance and privacy controls. I collaborate with MDM, data privacy, and governance teams to translate business needs into robust data solutions while staying current with AWS, Azure, Databricks, and modern data security standards. I’m passionate about enabling teams to leverage data responsibly and efficiently.
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