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Build and maintain scalable data platforms and AI pipelines, ensuring data quality and security in a dynamic environment.
Build and maintain scalable big-data pipelines using Spark, Python/Scala, and Hadoop; collaborate with data scientists to deliver robust ETL/ELT workflows.
Builds and optimizes data pipelines in Snowflake and DBT, ensuring clean, governed data for analytics and reporting across the company.
Build and maintain data pipelines, model datasets, and ensure data quality for a private healthcare group’s BI and analytics using SQL, R, and ETL tools.
Design and migrate ETL pipelines from Informatica to Snowflake using DBT, integrate SAP data, and build robust data models for BI teams.
Designs and builds data pipelines and warehouses for a financial client, using ETL tools and SQL to deliver analytics-ready datasets.
Build and maintain scalable data pipelines in AWS using Scala, Spark, and Python to process and analyze large datasets for enterprise clients.
Designs and maintains data pipelines and BI platform components, ensuring clean, accessible data for reporting and visualization while adhering to best practices and compliance.
Build and maintain data pipelines for a strategic data warehouse in the energy sector using Python, Airflow, and SQL.
Build and maintain robust data pipelines on Databricks, integrating diverse sources into reliable analytics-ready datasets using AWS, Spark, and Python.
Design and build scalable GCP-based data pipelines, lakes, and analytics platforms for enterprise clients, using Python, Spark, and BigQuery to enable data-driven decision-making.
Senior Data Engineer builds and maintains ETL pipelines, data warehouses, and cloud-based data platforms using Microsoft SQL Server, Talend, and BigQuery to support analytics and business needs.
Build and optimize RAG pipelines: ingest, clean, and chunk documents; design vector databases and hybrid indexing; measure relevance and automate production workflows for AI assistants.
Build and maintain data pipelines to ingest, clean, and structure diverse healthcare datasets for deep-learning models at a French university hospital.
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.
Build and optimize data pipelines for a mobility startup, integrating client data with AI-driven workflows to automate onboarding and scale infrastructure.
Build and maintain scalable data pipelines and modern architectures for reliable, high-performance data ingestion, transformation, and exposure in a collaborative product environment.
Builds ETL pipelines and ML Ops tooling to transform financial data for Mazars’ R&D team, working with Linux, Git, and client data sources.
Teach data engineering fundamentals to adult learners, guiding them through Python, SQL, ETL pipelines, and big-data architectures to prepare them for industry roles.
Designs and builds data pipelines for AI solutions, integrating ML models into batch and real-time data flows while ensuring quality and performance.
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