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Owns the reliability and performance of Apple’s large-scale data and ML platforms, ensuring high availability and cost efficiency while automating operations and incident response.
Build and maintain IBM’s Quantum Software data lake, designing scalable pipelines and orchestration workflows to power analytics and insights for quantum computing.
Build and run a cloud-based data lakehouse platform for a fintech client, automating deployments, monitoring performance, and optimizing Kubernetes clusters with tools like Dremio, Spark, and Prometheus.
Build and own Duetto’s Python/PySpark data lakehouse that powers real-time hotel pricing decisions, migrating from batch to streaming pipelines on AWS while driving data quality and AI-assisted tooling.
Build and optimize ETL/ELT pipelines using Teradata, Informatica, and Spark to load and transform enterprise data for warehouses and MDM systems.
Builds and optimizes data pipelines and real-time systems for a major bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Designs and optimizes ETL/ELT pipelines and data warehouses using Teradata, Hadoop, Spark, and Informatica for enterprise-scale data processing.
Designs and builds data pipelines and warehouses for a bank using Hadoop, Spark, and Teradata, enabling analytics and ML model development.
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 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.
Design and build an AI-ready Data Lakehouse in Saudi Arabia using Delta Lake/Iceberg, Spark, and Kafka, ensuring compliance with NCA/NDMO standards.
Lead Python engineer building automation for SaaS seat management and data-mesh integrations using open-source ETL tools.
Lead the design and evolution of a robust Data Platform, building certified data products from sales, inventory, logistics and finance datasets to ensure reliable, traceable and actionable business decisions.
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+…
Build and operate open-source data platforms using Python, Spark, and Kubernetes, focusing on pipelines, orchestration, and data quality for AI-driven analytics.
Build and operate open-source data platforms: pipelines, processing, orchestration, and deployment using Python, Spark, Kubernetes, and observability tools.
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