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Builds and optimizes distributed data pipelines in Spark and Scala to power AI-driven security risk analysis systems.
Design and build scalable data pipelines using Spark and Scala for a data-innovation consultancy, collaborating with technical teams.
Design and maintain high-volume IoT data pipelines on AWS, combining real-time and batch processing with Spark/Flink, and expose analytics-ready APIs in Python.
Designs and maintains robust data systems using Spark, Scala, and Python for a French IT services firm, with up to 2 remote days per week.
Senior Data Engineer builds and optimizes large-scale data pipelines and cloud-based Big Data platforms for a major bank, using Spark, Scala, Python, and cloud tools like GCP/AWS/Azure.
Design and optimize Spark-based AI training pipelines using Scala, PySpark, and Spark SQL for scalable data processing and efficient joins.
Leads a team to design, build, and document Databricks-based data pipelines using Scala, Python, and DevOps practices for enterprise clients.
Build and optimize robust data pipelines using Apache Spark and Scala for large-scale batch and real-time processing across finance and insurance clients.
Consultant Data Engineer designs and implements Databricks-based data pipelines and analytics solutions for clients, optimizing Spark jobs and architectures while advising on best practices.
Senior Data Engineer builds and optimizes Databricks-based data pipelines using Scala, Python, and Spark for a global consulting group.
Designs and maintains scalable GCP data pipelines (BigQuery, Dataflow, Dataproc) for retail clients, automating data flows and optimizing analytics infrastructure.
Leads data-architecture design, deployment, and quality for clients, mentors junior engineers, and contributes to bids while using SQL and an OO language like Python/Java/Scala.
Senior Data Engineer building scalable Databricks pipelines in Scala/Python, optimizing Spark workloads, and coaching teams on cloud data architectures for enterprise clients.
Senior Data Engineer at Talan builds and optimizes Databricks/Spark pipelines for large-scale data integration, coaching teams and advising clients on cloud and real-time streaming tech.
Build and optimize cloud data pipelines for clients using Spark, Kafka, and cloud platforms like Databricks or Azure, ensuring scalable, real-time data solutions.
Build and maintain cloud-based data pipelines and warehouses (BigQuery, Vertica) to power real-time analytics and ML for a large-scale internet search platform using Spark, Kafka, and AWS.
Build and maintain a modern AWS-based data platform for a large bank, designing data pipelines and lakehouse architecture to power AI and analytics solutions.
Builds and maintains scalable, eco-friendly data pipelines using Python/Scala and Spark for sustainable data projects with startups and enterprises.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform using BigQuery, DBT, and Airflow to deliver clean, documented datasets for analytics and marketing teams.
Build and maintain ML pipelines for banking use-cases, deploy models to production, and monitor performance using Python, Spark, Kubernetes, and AWS SageMaker.
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