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Build and maintain SOX-compliant Finance data pipelines and semantic models in Databricks and Power BI to deliver trusted, audit-ready data for Coty’s global reporting and analytics.
Designs and builds Azure Databricks-based data pipelines and Lakehouse architectures using SQL Server, focusing on modern data infrastructure.
Build and enhance a multi-dimensional indexing engine for Data Lakehouses using Java, Scala, and Rust, supporting open table formats like Iceberg.
Build the real-time data backbone for a new adtech standard that turns physical retail shopper behavior into anonymized, measurable audiences using edge computing, streaming pipelines, and privacy-preserving AI.
Build and scale ETL/ELT pipelines in PySpark and SQL, model enterprise data, and ensure quality and lineage for downstream analytics at a large IT consultancy.
Design and build enterprise-scale data pipelines and warehouses to unify operational data for analytics and AI in Basel.
Build the data backbone for a new global Retail Media channel: transform raw sensor streams from thousands of stores into real-time measurement, forecasting, and attribution systems using Spark, Kafka, Trino, and privacy-preserving pipelines.
Build and maintain scalable data pipelines on Databricks Lakehouse using Spark, Delta Lake, and orchestrators to deliver trusted datasets for analytics and AI.
Lead an Agile squad to build and deliver enterprise data platforms, transforming financial data into reporting solutions using modern cloud and data engineering practices.
Builds scalable data pipelines and medallion architectures on Databricks and cloud platforms for clients, translating business needs into production-grade ELT/ETL solutions.
Design and lead enterprise-scale data platforms and AI solutions on Azure, guiding clients from discovery to proposal while owning end-to-end architecture and pre-sales engagements.
Design and deliver enterprise-scale AI platforms, including data pipelines, MLOps, LLMs, and cloud-native solutions on AWS/Azure/GCP while ensuring compliance and mentoring teams.
Define enterprise-wide data architecture, models, and governance for a large organization, ensuring interoperability and alignment with business strategy.
Builds Power BI dashboards and analyzes datasets to deliver business insights using SQL, DAX, and Microsoft Fabric, turning raw data into strategic decisions.
Principal architect leading enterprise-scale AI platforms, designing data pipelines, MLOps, LLMs, RAG, and cloud-native AI on AWS/Azure/GCP while ensuring compliance and scalability.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Designs and governs enterprise-scale data architecture, models, and integration frameworks to support analytics and business transformation using TOGAF/DAMA standards.
Design and deliver modern data platforms for clients, assessing architecture maturity and defining roadmaps for governance, migration, and cloud enablement in a consulting role.
Build and maintain a secure, scalable Data-as-a-Service API (REST & GraphQL) that exposes LakeHouse data for a Mexican fintech platform, focusing on performance and uptime.
Lead a global data engineering team to design, build, and maintain secure data platforms and pipelines using cloud (Azure/AWS/GCP), ETL/ELT, Kafka, and governance frameworks.
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