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Build and maintain ETL pipelines to move relational data into a data warehouse and create Power BI dashboards for reporting.
Lead a data team to build ETL/ELT pipelines and reporting that drive operational excellence for airport assistance services.
Build and optimize cloud-based data pipelines for clients in finance, healthcare, logistics, mobility, and climate sectors using Spark, Kafka, and cloud platforms like Azure/GCP.
Build and optimize end-to-end data pipelines on Databricks and Spark, integrating real-time and batch data for analytics and AI use cases.
Designs and maintains industrial data pipelines using SQL Server and Azure Datalake to support real-time analytics and reporting for an international manufacturing or logistics firm.
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 cloud-based data pipelines and modern data platforms for enterprise clients, focusing on Azure Data Factory, Python, and SQL to ensure reliable, high-quality data flows and analytics.
Build and deploy ML models for supply-chain forecasting using AWS EKS and MLOps pipelines; design robust data pipelines and monitor production systems.
Build and secure big-data pipelines to turn raw naval-system data into real-time dashboards and anomaly-detection models for maintenance and decision support.
Build and maintain scalable data pipelines on Databricks, integrating diverse sources and industrializing ML models for enterprise clients.
Builds real-time Azure data pipelines and cloud analytics to optimize commercial tools for a logistics-focused client.
Build and maintain data pipelines and warehouses (Snowflake, dbt, Python) to turn raw business data into analytics-ready models that power reporting and decision-making.
Build and optimize Scala/Spark data pipelines for a major railway client, including design, performance tuning, CI/CD, and documentation.
Build and deploy MLOps pipelines to collect robotics data, orchestrate model training, and automate deployment for AI-driven warehouse automation systems using Python, cloud infra, and Kubernetes.
Build and maintain Azure-based data pipelines and integrations for a logistics client, ensuring clean, reliable data for analytics and ML models using Azure Data Factory, Functions, and SQL.
You’ll run, harden and automate Generix’s cloud-based TMS platform using Terraform, Kubernetes, CI/CD pipelines and observability tools, collaborating with product and infra teams to deliver reliable SaaS deployments.
Build and maintain AWS cloud infrastructure and CI/CD pipelines using GitLab-CI for a logistics-sector client, with a focus on IaC and DevSecOps practices.
Designs and maintains cloud governance standards for a large transport/logistics group, automating hybrid cloud environments with Terraform and Kubernetes while ensuring security and cost optimization.
Maintain and evolve CI/CD pipelines for critical logistics SaaS using Linux, Kubernetes, and Go to ensure reliability and stability.
Build and maintain CI/CD and observability tooling in Go for SaaS logistics platforms, ensuring high availability and customer control across private and GCP-hosted environments.
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