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Build and scale a production-grade ML platform for 300+ data scientists using Databricks MLOps and AWS SageMaker, automating CI/CD, monitoring, and multi-tenant infrastructure with Python and Terraform.
Build and maintain scalable data pipelines on GCP using Airflow, dbt, and BigQuery to support analytics and business growth.
Senior Data Engineer builds and maintains scalable ELT pipelines on Snowflake, AWS, and Airflow for a client, ensuring data quality and governance while advising on best practices.
Senior Data Engineer builds and owns Preply’s scalable data lake and ingestion pipelines, ensuring trusted, production-grade data for analytics, ML, and product features across 180 countries.
Build and scale Cashea’s data platform: orchestrate Airflow DAGs, transform raw data with dbt on BigQuery, and maintain CDC pipelines from PostgreSQL to GCP, ensuring reliable analytics for 9M+ users.
Build and optimize cloud-based data pipelines and ML infrastructure for e-commerce and retail clients using AWS, Databricks, and Python.
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.
Designs and maintains scalable data pipelines and ETL/ELT workflows using SQL, Python, and BigQuery to process large datasets for KPMG’s advisory clients.
Designs and maintains scalable data pipelines using SQL, Python, and cloud platforms like BigQuery and Snowflake to transform data and optimize performance and costs.
Lead a team building and optimizing a real-time marketing analytics pipeline using AWS, Airflow, and S3-backed data lakes, ensuring high-volume ETL and data quality.
Architect and build scalable data pipelines and warehouses using Snowflake, Airflow/Prefer/Dagster, and Python to ensure reliable, accessible data for enterprise analytics.
Senior Data Engineer building and optimizing AWS and Databricks pipelines for JPMorgan Chase, focusing on scalable ETL, Spark/Databricks, and cloud cost governance.
Build and maintain GCP-based data pipelines (batch/streaming) using BigQuery, Dataflow, and related tools to deliver reliable datasets for international clients.
Own and scale Cashea’s data platform using Airflow, dbt, and BigQuery on GCP, building DataOps pipelines and ensuring data quality for analytics.
Design and build data pipelines in Databricks, transform data with dbt, and orchestrate workflows in Airflow to integrate Salesforce Life Sciences Cloud and Veeva CRM for a global healthcare data platform.
Design and scale data pipelines using dbt, Snowflake, and Airflow to build robust analytics workflows and ensure high-quality data delivery for client teams.
Own and scale a GCP-based data platform using Airflow, dbt, and BigQuery to transform raw data into analytics-ready insights while optimizing costs and mentoring teams.
Build and maintain scalable data pipelines using dbt, Snowflake, and Airflow to transform raw data into reliable analytics-ready models for downstream teams.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas for reliability and accessibility.
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