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Builds full-stack IoT applications and data/AI pipelines using Python, React, and Node.js to process and analyze connected-device data.
Build and deploy an IoT data pipeline using Apache Hop and Kubernetes, migrating from Dataiku and supporting POC-to-production industrialization.
Lead a team of data engineers to build and maintain scalable data pipelines and datasets for a global animal-health company’s Data & AI transformation using Snowflake and modern engineering practices.
Build and maintain ETL/ELT pipelines, data storage, and processing systems to support analytics and AI for public-sector and energy projects.
Designs and scales graph-centric data infrastructure for aerospace simulations and analytics using Python/C++/Rust, ensuring secure, high-throughput data services and APIs for mission-critical workflows.
Lead a team building data services and APIs for climate scoring using Java and Spring Boot, industrializing data solutions.
Build and maintain Microsoft Fabric and Azure-based analytics platforms for clients, designing semantic models, pipelines, and DAX/SQL solutions to deliver robust, production-grade data insights.
Leads wind-resource assessment and turbine siting for a climatetech firm, running data-driven models and coordinating on-site measurement campaigns to maximize energy yield while meeting regulatory standards.
Senior Data Analyst & Engineer builds and maintains Databricks/Azure pipelines, creates KPI dashboards, and delivers analytics to improve manufacturing quality and performance.
Senior Data Platform Engineer & Analytics Lead at Emotors builds and optimizes industrial data pipelines to improve manufacturing performance and predictive maintenance.
Build and maintain central dashboards while collaborating with data teams; uses SQL, Google Cloud, and visualization tools.
Designs and deploys industrial automation systems, integrating PLCs and data pipelines to improve manufacturing performance using AI and IoT.
Build and scale data pipelines and monitoring for an energy-tech company using Kubernetes, AWS, SQL, and Python.
Build and deploy AI solutions (LLMs, RAG, ML) to improve customer support and service operations, translating business needs into robust, explainable models and driving adoption across teams.
Builds and maintains secure, high-performance data-exchange infrastructure for aerospace/defense simulations and analytics using Python/C++/Rust, REST/GraphQL APIs, and relational/graph databases.
Designs cloud-native data pipelines and architectures for industrial clients using Cognite Data Fusion, mentoring teams and delivering scalable solutions.
Lead a team to design, build, and optimize Databricks-based data pipelines and AI architectures for enterprise clients, ensuring scalable data ingestion, processing, and visualization while mentoring engineers.
Builds and integrates data pipelines and software for climate-tech clients using Python and SQL, acting as a bridge between customer needs and technical execution.
Lead a team building and scaling a SaaS data and AI platform that optimizes industrial production chains, integrating pipelines and best practices across tech, data science, and DevOps.
Build and maintain data pipelines in Azure Databricks (PySpark/SQL) and create Power BI dashboards to support project management and decision-making at a climate-tech company.
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