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Build and scale AI systems to democratize commerce and financial services in Latin America using Python, BigQuery/Redshift, and Looker/Tableau for analytics.
Build and scale AI systems that analyze ecommerce and fintech infrastructure, optimize costs, and guide strategic tech investments using Python, BigQuery, and ML APIs.
Build and maintain scalable data pipelines on GCP using Airflow, dbt, and BigQuery to support analytics and business growth.
Own and evolve scalable data pipelines on GCP/BigQuery, ensure data quality, and partner with finance for accurate reporting.
Senior Data Engineer at KPMG Argentina building MicroStrategy dashboards and ETL pipelines, translating business needs into data solutions using SQL, Python, and BigQuery.
Build and maintain the AI data platform using BigQuery, Vertex AI, and Dataform; own cloud storage, IAM, and Terraform IaC to ensure reliable AI mining outputs.
Build and scale KIU’s data platform, designing ELT pipelines and datasets that power next-gen analytics products for airlines using SQL, Python, and cloud tools.
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.
Senior Data Engineer designs cloud-scale data models, optimizes Data Lake and Warehouse, and collaborates with analysts to deliver business value using Python/Java, SQL, and cloud tools like AWS.
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.
Build MicroStrategy dashboards and analytics solutions to drive business decisions, using SQL, Python, and BigQuery alongside KPMG teams.
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.
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.
Designs and maintains scalable data pipelines, ETL processes, and data warehouses to support analytics and business intelligence using SQL, Python, and big data tools.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Build and optimize cloud data pipelines, real-time processing, and Lakehouse architectures using Python, PySpark, and SQL to feed AI models and business analytics.
Senior Data Engineer building and optimizing scalable data models, pipelines, and cloud-based analytics solutions in AWS to support business decision-making and product growth.
Senior Data Engineer builds and maintains scalable data pipelines on GCP, using Airflow, dbt, and BigQuery to create robust analytics platforms and drive data-driven decisions.
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