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Build and tune LLM-based AI agents and RAG systems for ERP automation and SaaS knowledge bases, using Python, PyTorch, LangChain, and cloud pipelines.
Build and maintain data pipelines and analytics systems using Python, Snowflake, dbt, and AWS services for a fintech platform.
Build and optimize TypeScript-based ETL pipelines for a European MedTech company, processing large volumes of cardiac monitoring data in AWS with PostgreSQL, Kafka, and Kubernetes.
Build a cloud-native analytics platform from scratch: warehouse, dbt pipelines, semantic layer, and embedded analytics to turn HR survey data into insights for clients and internal teams.
Build and maintain cloud data pipelines and datasets to track cloud costs, usage, and performance for engineering and finance teams using AWS, Snowflake, and Python.
Build and maintain scalable data pipelines and warehouses using Dagster, dbt, Python, and SQL Server to power BI and analytics for a leading email platform.
Build and maintain petabyte-scale data pipelines using Iceberg, Spark, DuckDB, and Trino, and own the reporting stack behind the Clear UI.
Builds and optimizes data pipelines for regulatory reporting in banks using Python, ETL tools, and big-data tech like Spark and Kafka.
Design and scale a modern data platform using Snowflake, Airflow, and ETL/ELT pipelines, while implementing DataOps practices and CI/CD for analytics.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps practices with Airflow, Prefect, or Dagster.
Architect and build scalable data pipelines and warehouses using Snowflake, Airflow/Prefer/Dagster, and Python to ensure reliable, accessible data for enterprise analytics.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas for reliability and accessibility.
Design and scale a modern data platform using Python, Snowflake, and orchestration tools like Airflow to build reliable ETL/ELT pipelines and optimize data warehouses for enterprise analytics.
Senior Data Engineer builds and scales a modern data platform using Python, Snowflake, Airflow/Prefer/Dagster, and CI/CD for reliable ETL/ELT pipelines and DataOps.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Senior Data Engineer builds and scales modern data pipelines, optimizes Snowflake warehouses, and implements DataOps practices using Python, Airflow/Prefect/Dagster, and CI/CD.
Lead a team to design and maintain large-scale ETL pipelines and OLAP data architecture on AWS, using S3 data lakes, Athena, Airflow, and Python, while enforcing code quality and guiding senior developers.
Senior Data Engineer builds and maintains analytics pipelines and Snowflake data models using Python, dbt, and AWS to power marketplace insights and dashboards.
Build and deploy scalable data pipelines, cloud infrastructure, and full-stack apps that expose AI models and processed data for enterprise clients.
Lead a data team building AI-driven healthcare analytics for hospitals, focusing on PMSI coding and patient-stay valuation while ensuring regulatory compliance and team growth.
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