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Design and build modern data pipelines and analytics platforms using Azure services like Data Factory, Synapse, and Datalake to integrate and model enterprise data for real-time insights.
Build and maintain modern data platforms, design data integration flows, and optimize pipelines using Azure services for real-time analytics and reporting.
Design and deploy high-performance data analytics solutions using Azure and Microsoft Fabric, including ETL pipelines, data lakes, and Power BI reports for enterprise clients.
Build and maintain modern data pipelines using dbt, Snowflake, and CI/CD to create scalable analytics platforms for enterprise clients.
Design and deploy end-to-end data analytics solutions on Azure and Microsoft Fabric, building modern data platforms, ETL pipelines, and Power BI reports for enterprise clients in finance, healthcare, mobility, and climate sectors.
Build and optimize data pipelines, modern data platforms, and real-time integrations using Talend and related tools while advising clients on data architecture and best practices.
Senior Data Engineer role using Dataiku to design data pipelines, build visualizations, and advise clients on AI/ML solutions with Python, Spark, and cloud platforms.
Build and optimize data pipelines, analyze business needs, and deliver visualizations using Dataiku, Python, and Spark to drive AI-driven solutions for clients in finance, healthcare, mobility, and climate sectors.
Design and deploy high-performance data analytics solutions using Azure and Microsoft Fabric, including ETL pipelines, data lakes, and Power BI dashboards.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and maintain data platforms for financial clients, ingesting and processing data in batch/streaming pipelines using Spark, Kafka, and cloud tools to deliver analytics and insights.
Build and scale AQEMIA’s data platform to power drug discovery, modeling chemical structures and experimental results with Python, SQL, Snowflake, and Airflow.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Design and automate cloud infrastructure using IaC, integrate systems with security/observability tools, and define target architectures while ensuring SI coherence and governance.
Build and maintain scalable MLOps and DevOps infrastructure to deploy, monitor, and scale ML/AI models in production for a digital marketing platform.
Migrate and modernize CI/CD pipelines from legacy toolchains to GitHub Actions, Terraform, JFrog, Docker and SonarQube, including PoC, migration, testing and documentation.
Build and maintain CI/CD pipelines, cloud infrastructure, and security hardening for enterprise clients using AWS/Azure/GCP, Linux, and DevOps tooling.
Build and maintain CI/CD pipelines and cloud infrastructure for client projects, focusing on automation, security hardening, and DevOps best practices across AWS, Azure, and GCP.
Builds and maintains cloud-native apps for local governments, working full-stack on back-end and front-end features, fixing bugs, and providing tier-3 support.
Build a cloud-native Kubernetes PoC: local Minikube/Kind stack, Helm/Tilt, a Kubebuilder operator, a web console, and automated validation jobs to showcase end-to-end automation.
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