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Leads IT infrastructure and operations for Germany’s largest email/communications platform, overseeing 50k+ hosts and 10B+ monthly page views while modernizing scalable, high-availability systems.
Build and maintain robust ETL pipelines, cloud data platforms, and databases to ensure high-quality data for analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
Lead DevOps projects, automate cloud infrastructure (AWS/GCP), and maintain Kubernetes clusters to improve scalability and reliability for enterprise clients.
Builds scalable microservices and cloud-native apps using .NET Core, Go, or Java, optimizing performance for IoT systems and managing databases like PostgreSQL and CosmosDB.
Build and maintain backend services in Java/Kotlin, design event-driven architectures with Kafka/RabbitMQ, and lead software delivery for global clients.
Builds and maintains the Kaleris/Navis SPARCS N4 terminal operating system, a next-gen logistics platform for marine shipping using Java, Spring Boot, and cloud services.
Build and optimize a large-scale pet-products marketplace using Java, Spring Boot, and event-driven microservices on AWS/Azure/GCP.
Senior Data Engineer to design, build, and optimize data pipelines and warehouses in Snowflake, migrating ~1,000 pipelines while using Talend, Kafka, and cloud platforms.
Designs and builds scalable data pipelines, warehouses, and ETL/ELT workflows using Python, Java, Spark, and SQL to ensure clean, high-quality data for analytics and products.
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 AWS-based data pipelines and lakehouse architecture for a large bank’s AI and ESG initiatives, using PySpark, Java, and CI/CD.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform, optimize BigQuery warehouses, and automate data workflows with Python, SQL, and Terraform for real-time analytics and business insights.
Design and build scalable big-data pipelines for clients, using Hadoop/Spark, cloud data services, and orchestration tools like Airflow to store, transform, and expose data.
Build and maintain data pipelines, transform raw data into analytics-ready assets, and deliver dashboards for business stakeholders using Python, SQL, and AWS.
Build and maintain data pipelines, optimize databases, and deploy data platforms for a French financial-intelligence service, using Python, SQL, and cloud-native tools.
Build and maintain robust ETL pipelines, cloud data platforms, and databases to support analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
Design and maintain high-performance data pipelines and cloud architectures using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure) to deliver clean, secure data for analytics and AI teams.
Design and build scalable data pipelines, ETL processes, and dashboards using Python/Scala, SQL, NoSQL, and AWS for a government employment agency.
Build and maintain robust data pipelines, ensuring quality and integrity, while collaborating with clients to optimize their data infrastructure using tools like Spark, Kafka, and cloud services.
Build and maintain robust data pipelines and cloud infrastructure for enterprise clients, using Python/Java/Scala, SQL/NoSQL, Spark, Kafka, and AWS/Azure/GCP.
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