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Build and maintain data pipelines in Python (Dagster) and SQL/Jinja (DBT) to power analytics and AI at Doctolib, a healthcare platform.
Senior Data Engineer builds and runs AWS-based data pipelines, mentors junior engineers, and advises clients on scalable data platforms using Python, Spark, and Airflow.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Design and maintain scalable data pipelines and architectures (ETL/ELT, data lakes, warehouses) using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure).
Build and maintain cloud-based data pipelines in Python and SQL, design modern data platforms (Data Lake, Warehouse), and ensure data quality and observability for analytics and AI projects.
Build and maintain dbt data models in Snowflake/BigQuery, design layered data architectures, and set up CI/CD pipelines for a 3-month freelance role.
Build and maintain data pipelines using DBT and SQL in a cloud warehouse, ensuring reliable, tested models and CI/CD integration.
Build and maintain robust data pipelines and cloud data platforms, preparing data for AI systems and ensuring quality and governance for analytics and agentic use cases.
Build and maintain the data pipelines that power streaming-TV ad campaign reporting, ensuring accuracy and enabling new product features in a fast-growing AdTech startup.
Build and maintain the data pipelines that power Vibe.co’s streaming-TV ad reporting, ensuring accurate, real-time campaign metrics for advertisers.
Builds and maintains AI-powered data pipelines and BI dashboards in Python and Dagster, ensuring GDPR compliance for healthcare decision-making.
Senior Data Engineer builds and maintains cloud-based data pipelines for enterprise clients, using Python, SQL, dbt, and Airflow to integrate, transform, and deliver reliable analytics-ready data.
Build and maintain data pipelines for geospatial, weather, and crop data to power DNEXT’s agricultural market intelligence platform.
Build and deploy scalable data pipelines, cloud infrastructure, and full-stack apps that expose AI models and datasets for analysts and scientists.
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 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 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 optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Build AI-powered retail automation in Clojure: outfit generators, vector search, and LLM workflows that serve 100M+ shoppers via APIs for fashion retailers.
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