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Builds and maintains global health data pipelines using Airflow, Snowflake, and dbt to deliver clean, scalable datasets for analytics and insights.
Build and scale FINN’s data platform from scratch, implementing BigQuery governance, dbt pipelines, and modern data infrastructure to democratize financial data across the fintech startup.
Designs and maintains scalable data pipelines, warehouses, and governance frameworks using Python, SQL, and cloud tools to ensure clean, reliable data for analytics and reporting.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas with DataOps practices.
Lead the design of scalable, AI-powered data pipelines and lakehouse architectures for a global food manufacturer, optimizing cloud costs and enforcing governance across real-time streaming and ETL workflows.
Lead a team to build and maintain ETL pipelines and a data lake for a marketing analytics platform using AWS S3, Airflow, and Athena.
Lead BI/Data Engineer builds data pipelines, warehouses, and dashboards in SQL, Python, and Snowflake to deliver business insights and enable advanced analytics for Fortune 500 clients.
Build and optimize cloud-native data pipelines and warehouses on AWS using Python, ETL/ELT tools, and modern data stacks for analytics and ML workloads.
Architect and build scalable data pipelines and Snowflake warehouse schemas using Airflow/Prefer/Dagster, enforcing DataOps and software engineering best practices.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps practices with Airflow or similar tools.
Build and optimize reliable, scalable data pipelines using Python, SQL, PySpark, and Azure tools to feed analytics and AI models for enterprise clients.
Build and maintain scalable data pipelines for a systematic commodities hedge fund, using Python, SQL, and cloud tools to process market and alternative datasets for trading research.
Build and maintain secure, scalable data pipelines and ETL workflows using Airflow, Snowflake, and DBT to support healthcare analytics and research insights.
Build and maintain ETL pipelines to move and transform large financial datasets in the cloud, using Oracle, MySQL, Airflow, and APIs.
Build and maintain data pipelines, cloud data warehouses, and RESTful APIs using Python, GCP, and FastAPI/Flask to support scalable data-driven applications.
Designs and builds scalable data pipelines, optimizes Snowflake schemas, and enforces DataOps with CI/CD, Docker, and automated testing in Python.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps with Airflow/Prefer/Dagster.
Designs and builds scalable data pipelines on Google Cloud Platform (BigQuery, Data Fusion, Airflow) to support HR analytics and business decision-making.
Build and maintain secure, scalable data pipelines and infrastructure using Airflow, Snowflake, and DBT to support analytics and healthcare research globally.
Builds and maintains Java microservices and REST APIs to enhance data discoverability and AI readiness for MSCI’s global data catalog platform.
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