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Build and maintain scalable data pipelines and a high-performance Lakehouse for a biotech company, using Microsoft Fabric Data Factory to turn genomic and breeding data into FAIR assets for global R&D decisions.
Designs and builds data pipelines using Microsoft Azure Synapse, Databricks, and SQL Server to process and model data for analytics and reporting.
Designs and automates scalable data pipelines for a biotech company, building a high-performance lakehouse to turn genomic and field data into FAIR assets for breeders and scientists.
Build and maintain scalable data pipelines using Microsoft Fabric to integrate and optimize data from ERP, CRM, and APIs for analytics and reporting.
Build and evolve a global data platform using Microsoft Fabric, lakehouse architecture, and Azure, designing scalable pipelines and reusable data models for analytics and AI.
Builds Azure-based data pipelines, lakehouse architectures, and Power BI reports using Data Factory, Databricks, and SQL.
Build and maintain data pipelines in Python and SQL to feed business analytics, create Power BI dashboards, and explore AI use cases for a brewery group.
Build and maintain cloud-based data pipelines using Azure services (Fabric, Synapse, Data Lake) and Python/SQL to turn raw data into insights for clients.
Build and maintain scalable data pipelines and lakehouses using Microsoft Fabric and Power BI, automating ingestion, transformation, and CI/CD workflows for analytics solutions.
Build and maintain end-to-end data pipelines and warehouses in Snowflake, using Matillion, dbt, Azure Data Factory, and Power BI to deliver scalable, high-performance analytics solutions.
Designs and maintains data pipelines using Microsoft Fabric and Azure tools to build scalable analytics platforms for enterprise clients.
Design and build data pipelines and backend services for AI-driven energy asset operations, integrating SCADA and corporate data in Microsoft Fabric and Power BI.
Build and maintain data pipelines, dashboards, and warehouse models to turn business questions into trusted insights using SQL, Python, and cloud warehouses like BigQuery.
Build and maintain data pipelines and warehouses for AI projects, using PySpark, Databricks, and Azure services to centralize and process large datasets.
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting, processing, and modeling data with PySpark, ADF, and KQL for analytics and reporting.
Designs and maintains Azure Synapse data pipelines and Data Lake architectures, writes Python ETL processes, and models data for renewable-energy analytics.
Build and maintain end-to-end data pipelines on Azure Synapse, model a Data Lake, and orchestrate Python workloads on AKS to deliver KPIs for renewable-energy operations and reporting.
Designs and builds end-to-end cloud data platforms using Microsoft Fabric and Azure, setting standards and guiding teams to create scalable, reusable data architectures and pipelines.
Senior Data Engineer builds and maintains industrial IoT data pipelines, integrates data sources, and deploys ML models using Microsoft Fabric for AI-driven industrial solutions.
Build end-to-end reporting solutions for Dynamics 365 using Azure Synapse, Microsoft Fabric, and Power BI, focusing on HR, finance, logistics, and project management dashboards.
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