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Build and optimize data pipelines, warehouses, and analytics for a banking-focused data platform using SQL, Python, and cloud tools.
Build and maintain ETL pipelines, BI reports, and data services using SQL, Oracle, Hadoop, Spark, and Airflow for a Vietnamese tech company.
Build and maintain data pipelines, ETL workflows, and warehouses to feed analytics and BI dashboards for an edtech platform.
Lead a scalable data platform using Airflow, Spark, Kafka, and Kubernetes on AWS/GCP to ingest, process, and serve real-time and batch data for a global fashion ecommerce group.
Lead a team to build and maintain scalable data pipelines on GCP using Terraform, BigQuery, Dataflow, and Airflow while automating infrastructure and CI/CD.
Design and build cloud-native data pipelines on GCP, enabling AI/ML initiatives and analytics for a global banking team using PySpark, Airflow, BigQuery, and Vertex AI.
Senior Data Engineer designs and builds scalable GCP data pipelines using BigQuery, Dataflow, and Terraform, while automating DevOps workflows with GitHub Actions and Airflow.
Build and maintain scalable data pipelines and warehouses for an insurance marketplace, enabling analytics, BI, and AI use cases with Python, SQL, and Kafka.
Designs and maintains scalable data pipelines and APIs to feed analytics, BI, and AI systems using Python, SQL, Kafka, and Airflow.
Senior Data Engineer to build a greenfield lakehouse on AWS/GCP, owning end-to-end pipelines for payments, marketing analytics, and operations using dbt/SQLMesh and Dagster/Airflow.
Senior Data Engineer to design and build a greenfield data platform, ingesting payment and marketing data into a unified Lakehouse across AWS and GCP using dbt, Dagster, and Redshift/BigQuery.
Build and maintain TikTak’s data platform, owning the semantic layer and scalable pipelines with dbt, Airflow, and AWS to enable self-service analytics for business users.
Build and own TikTak’s end-to-end data platform—ingesting, warehousing, transforming, and serving trusted KPIs—using dbt, Airflow, and AWS (Redshift, S3, Glue, Lambda).
Build and maintain data pipelines and models that power Midas’s investing platform, ensuring accurate, real-time analytics for 3.5M users and enabling data-driven decisions across the company.
Build and maintain data pipelines, clean datasets, and create dashboards to extract insights from logistics operations using Python, SQL, and Airflow.
Build and maintain high-performance data pipelines in Scala and Spark to process petabyte-scale datasets and deliver real-time analytics for enterprise clients.
Build and scale real-time data infrastructure for a high-throughput crypto social network, designing pipelines, analytics systems, and storage solutions in Python/SQL with Spark, Kafka, and ClickHouse.
Build and operate a cloud-native data platform on Snowflake and public cloud, owning provisioning, ingestion pipelines, transformations, governance, and cost-efficient scaling for analytics across the travel-tech company.
Designs and validates energy-efficient cooling systems for hyperscale data centers, translating client needs into resilient mechanical solutions and guiding projects from design through commissioning.
Build and optimize a large-scale Earth Observation data pipeline processing satellite radar data, focusing on scalability, performance, and integration with scientific algorithms.
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