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Build resilient data pipelines and self-serve tooling for a crypto market maker, normalizing market, trading, and portfolio data in real time for desks, risk, finance, and research.
Build and maintain scalable data pipelines using Python and SQL to ensure reliable, high-performance data operations for a dynamic tech company in Nantes.
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 scale Vibe’s petabyte-scale data backbone, owning storage, batch/stream compute, and real-time OLAP reporting to power streaming TV ad campaigns.
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 and infrastructure for an AI safety startup, enabling petabyte-scale data access and governance for research and production workloads.
Build and maintain large-scale data pipelines for energy storage systems, enabling predictive models and optimizing battery operations in a fast-growing cleantech company.
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 scalable data pipelines and analytics infrastructure for a global FX trading platform, using Python, SQL, and time-series databases like KDB.
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.
Build and optimize scalable data pipelines on Databricks and cloud platforms, transforming raw data into automated, production-ready analytics and AI infrastructure using Python, Spark, and IaC.
Build and maintain robust Big Data pipelines using Cloudera, Talend, Kafka and Spark to integrate, transform and ensure data quality for enterprise clients.
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.
Designs and maintains scalable AWS-based data pipelines for government intelligence programs, using ETL tools, Redshift, and Python to process large datasets securely.
Build and maintain data pipelines, transform raw data into clean datasets in Snowflake, and create Tableau dashboards to support Supply, Finance, Marketing and other business teams.
Build and scale Joko’s data infrastructure, design robust pipelines, and set standards for reliability and scalability to power analytics and future AI features.
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