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Design and build Azure-based data analytics solutions using Microsoft Fabric for clients, focusing on modern data platforms and complex data models.
Designs and builds data pipelines and cloud architectures using GCP, Snowflake, and dbt to enable analytics and reporting.
Build and maintain high-performance Azure data pipelines, collaborate with BI teams, and advise clients on modern data solutions.
Build and maintain MLOps pipelines and integrate ML models into products using Python and cloud platforms like AWS and GCP.
Senior Data Engineer designs and builds Azure-based data pipelines and analytics solutions using Azure Data Factory, Azure SQL Database, and Power BI.
Build and maintain scalable data infrastructure for a health-tech company using Python, SQL, and cloud platforms to support business intelligence and decision-making.
Senior Data Engineer builds and maintains large-scale data pipelines in Python and Databricks, leveraging AWS services to collect, transform, and deliver high-volume energy-sector data for analytics and business use.
Designs and builds cloud data pipelines for aerospace engineering teams using Python and Java, ensuring scalable, secure data infrastructure.
Build, maintain, and optimize data platforms to ensure reliability and accessibility for data-driven decision-making.
Senior Data Engineer builds robust data pipelines and cloud infrastructure using Python, SQL, and Airflow to support AI and analytics workloads.
Lead a team to design and build robust data pipelines on Databricks, using Spark, Python and SQL to migrate and industrialize a new data platform.
Design and build cloud-based data pipelines and AI solutions using Spark and Azure to ensure reliable, high-quality data access for analytics and AI workloads.
Lead a team to design and build end-to-end data architectures on Google Cloud, using BigQuery, Dataflow, and DBT to create scalable ETL/ELT pipelines and integrate GenAI services.
Leads the unification of Leetchi’s data infrastructure, building a central data warehouse, dbt pipelines, and orchestration while ensuring GDPR and PCI-DSS compliance.
Design and build scalable cloud data pipelines on Google Cloud Platform (BigQuery, Dataflow, etc.) to enable AI-driven analytics and business intelligence for enterprise clients.
Senior Data Engineer building and migrating big-data pipelines for a major French bank using Spark, SQL, Cloudera CDP and GCP.
Build and expand cloud-based data platforms using Databricks, Azure, and Python to deliver BI, AI, and data engineering solutions for enterprise clients.
Build and maintain high-performance data pipelines in Spark/Java, migrate legacy systems to Databricks, and ensure data quality for downstream analytics.
Build and expand cloud-based data platforms on Databricks and Azure for clients, integrating BI, AI, and data engineering pipelines using Python and DevOps.
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