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Builds data pipelines and predictive models for EV-charging infrastructure in collective housing, analyzing consumption patterns and optimizing grid impact using Python, Spark, and PostgreSQL.
Designs and builds data models and Snowflake datamarts to power customer analytics, reporting, and targeting for a marketing team.
Build and maintain a healthcare data platform, using NLP and ML to extract, validate, and document unstructured patient data while ensuring compliance and quality.
Build and optimize NLP pipelines to extract, validate, and document unstructured patient data for a healthcare data warehouse, using Python/R and ML libraries like PyTorch.
Build and maintain data pipelines, deploy AI solutions (LLMs, RAG, assistants), and industrialize ML workflows using Python, Spark, and cloud platforms like Azure.
Senior Data Engineer building and optimizing Karavel’s data warehouse (Snowflake, SSIS, Python) to power BI, reporting, and analytics for a travel-group, while mentoring junior engineers and improving Data Ops pipelines.
Build and deploy ML models for supply-chain forecasting using AWS EKS and MLOps pipelines; design robust data pipelines and monitor production systems.
Design and maintain scalable data pipelines on Teradata and Big Data platforms for a major bank, then collaborate with data scientists to build and industrialize predictive models and AI-driven insights.
Designs and implements Azure-based data pipelines using Data Factory and Synapse for a consultancy serving tech clients.
Designs and builds scalable data pipelines in AWS using Python and SQL to feed a global data lakehouse for a trading firm.
Designs and builds scalable Azure and Microsoft Fabric data pipelines using Python, SQL, and Spark, ensuring data quality and governance for analytics and AI workloads.
Architect and maintain SIEM infrastructure and log-management pipelines for an AI company, ensuring scalable, reliable security logging.
Build and maintain BigQuery data lakes, design SQL models, and orchestrate pipelines with Airflow to ensure high-quality media analytics.
Build and maintain ETL pipelines and data architecture to support analytics teams using Python, R, and cloud storage tools.
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.
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