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Designs and builds scalable GCP-based data pipelines and services in Node.js/Python, focusing on real-time analytics, batch processing, and cost optimization.
Design and build scalable data pipelines and warehouses in Google Cloud to power analytics and business decisions, using SQL, Python, and ETL tools.
Design and maintain scalable data pipelines and warehouses in GCP, building ETL/ELT processes and SQL models to power analytics and decision-making for a global social-first marketing agency.
Senior Data Engineer at DiDi troubleshoots large-scale data pipelines, optimizes BI/ETL systems, and resolves complex data issues across global teams using SQL, Python, and cloud data warehouses.
Build and maintain scalable data pipelines and cloud-based analytics solutions using Python, SQL, and tools like Databricks and Spark to turn marketing and media data into actionable insights.
Design and maintain scalable data pipelines and architectures, ensuring data quality and accessibility for analytics, with a focus on SQL and Salesforce.
Senior Data Engineer builds and maintains scalable data pipelines and integrations using Python, SQL, dbt, and GCP tools to support analytics and AI-driven workflows.
Build and maintain data pipelines and BI systems for a Latin American school network, using SQL, Python, and Google Cloud.
Senior Data Engineer builds scalable pipelines, warehouses (Snowflake), and ML workflows in Azure to power analytics and AI agents, collaborating with scientists and product teams.
Build and maintain data pipelines, dashboards, and AI-driven tools to inform logistics operations and ecommerce decisions using SQL, Python, and tools like DBT, Fivetran, and Hex.
Build and maintain data pipelines, API integrations, and SQL-based reporting infrastructure for a cannabis-focused startup, using Python, Airflow, and BigQuery.
Senior Data Engineer builds secure, scalable ETL pipelines in Python, DBT, and AWS to integrate HR data sources, ensuring high availability and enabling analytics for HR leadership.
Build and maintain scalable, serverless data solutions on Google Cloud, integrating AI tools and engineering best practices for clients in retail, media, and travel.
Builds data products and automations for Alpine’s marketplaces, webshop, and marketing using Python, dbt, BigQuery, and BI tools like Looker or Metabase.
Designs, builds, and scales GCP-based data platforms using Terraform, BigQuery, and Cloud Run while mentoring teams and improving observability and CI/CD.
Build and maintain scalable data pipelines and infrastructure that process millions of supply-chain events daily, ensuring real-time visibility for global trade operations using cloud-native tools like Kafka, Snowflake, and Kubernetes.
Lead a large-scale enterprise data platform migration from AWS/Databricks to GCP, designing BigQuery/Dataflow pipelines and mentoring engineers while ensuring data integrity and governance.
Build and maintain a large-scale data pipeline in BigQuery, integrating Salesforce, Stripe, and Postgres to ensure reliable data quality and observability for analytics and CRM.
Design and maintain scalable data pipelines and warehouses for a Dutch transport company using Google BigQuery and Snowflake.
Build and maintain scalable marketing data pipelines using dbt, BigQuery, and Looker to deliver clean, high-integrity datasets for analytics and decision-making.
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