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Build and maintain robust data pipelines and cloud architectures (Azure/AWS/GCP) to enable analytics and AI use cases for enterprise clients, using Python, SQL, Spark, and tools like dbt and Airflow.
Build and maintain petabyte-scale data infrastructure using Spark, ClickHouse, and lakehouse tools, and own incident response and cost optimization for real-time reporting.
Build and maintain scalable data pipelines for an e-commerce platform using Snowflake, Airflow, Python, S3, and Kafka to ensure reliable, high-quality data flows.
Build and maintain data pipelines and semantic layers on GCP to power investment-decision tools and automate internal processes for a sustainable-finance asset manager.
Build and maintain scalable data pipelines and architectures for enterprise clients, using Python, Spark, Airflow, and cloud storage to enable data-driven decision-making.
Lead a team to design and build scalable data pipelines and platforms for clients, advising on cloud and big-data tech while enforcing DevOps, FinOps, and governance best practices.
Design and build Snowflake-based data warehouses and ETL pipelines for enterprise clients, using SQL and cloud tools to deliver clean, scalable data solutions.
Lead a small team to design and deliver Snowflake-based data pipelines and AI workflows for Sanofi, using DBT, Airflow, Python, and AWS to scale GenAI and agentic AI systems across a global biopharma enterprise.
Build and maintain scalable data pipelines using Python, SQL, Spark, and cloud services (Azure/AWS/GCP) to deliver clean, reliable datasets for analytics and AI teams.
Build and optimize scalable data platforms, develop robust ETL/ELT pipelines, and mentor junior engineers using Python, SQL, Spark, and cloud tools like AWS/Azure/GCP.
Build and deploy modern data architectures (Snowflake + dbt) and ETL/ELT pipelines in Python/SQL, while mentoring peers and optimizing cloud costs for clients across France.
Build and maintain scalable data pipelines and warehouses for analytics, using cloud tools like AWS and Snowflake, orchestration platforms such as Airflow, and data modeling best practices.
Build and maintain robust data pipelines (ETL/ELT) on cloud platforms, ensuring data quality, security, and governance while collaborating with data scientists and analysts.
Build and maintain data pipelines on GCP to feed predictive models and a customer data platform for a marketing-focused client, using Airflow and Snowflake.
Build and maintain cloud data pipelines, ETL/ELT workflows, and analytics models in GCP/BigQuery to power programmatic advertising and DOOH campaigns.
Designs and maintains scalable cloud-based data pipelines and storage using Python, SQL, and cloud platforms like Azure/AWS/GCP to ensure reliable, high-quality data for business operations.
Builds and optimizes scalable data pipelines for a Madrid-based bank, using Spark, Scala, Python, Airflow, and cloud migration from Hadoop.
Build and scale cloud data pipelines for clients using Azure, AWS, or GCP, ingesting and transforming data with Spark, Airflow, and Kafka to make it analytics-ready.
Build and scale Joko’s data infrastructure, design robust pipelines, and set standards for reliability and scalability to power analytics and future AI features.
Build and optimize scalable data pipelines and lakehouse infrastructure (Spark, Databricks, Snowflake) for a SaaS data-management platform, with early AI use-case enablement.
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