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Lead a Vietnam-based engineering team building and operating Grab's real-time stream processing platform (Apache Flink, Kafka, CDC), focusing on self-service capabilities, production reliability, and team growth.
Develops and optimizes core components of AWS’s Big Data query engines (Athena, EMR) and open table formats (Iceberg, Hudi, Delta) to enhance performance, scalability, and security, collaborating with open-source communities and driving innovations in distributed systems.
Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
Build scalable backend services and distributed systems for a financial reporting and query platform using Kotlin, Java, or Python on AWS.
Builds scalable backend systems and data pipelines to modernize investment management software and migrate customers from legacy systems to Ridgeline’s cloud-native platform.
Mid-level Data Scientist working on-site at MacDill AFB, supporting SOCCENT's Intelligence Data Science Team by building data-driven solutions, predictive models, and ML tools using Python, Bash, SQL, and large-scale data systems.
Build and lead scalable data pipelines and warehouses for Stripe’s financial infrastructure, using tools like Airflow, Spark, and Kafka to ensure reliable, high-quality business data for decision-making.
Staff engineer building and scaling Stripe’s data-quality and governance platform, ensuring trustworthy, findable data across pipelines, catalogs, and warehouses using distributed systems and AI/LLM tools.
Build and scale data pipelines and warehouses for Stripe’s payments and risk systems using distributed frameworks like Spark, Flink, and Kafka.
Build and maintain APIs and internal systems that power financial operations, marketing, and seller productivity for a global payments platform using Ruby, MySQL, MongoDB, and cloud services.
Designs and builds scalable data orchestration infrastructure for batch processing at Stripe, using tools like Airflow, Spark, and Kafka to support financial and analytics workflows.
A generalist data scientist applies ML to solve data problems (e.g., quality, classification, embeddings) and builds tools for analysts. Works independently on projects, embedded with product/data teams, and partners with engineers, analysts, and PMs.
Pivotal is the leader in the emerging market of electric Vertical Takeoff and Landing (eVTOL) aircraft. We design, develop, and manufacture light eVTOL aircraft and are renowned for the BlackFly aircraft the…
Lead the design and deployment of AI systems (LLMs, computer vision, voice AI) to improve EV-charging analytics, customer support, and automation for ChargePoint’s global network.
A Senior Software Engineer role at ZoomInfo, focusing on building scalable web crawling and data extraction infrastructure, working with Java, Python, GCP/AWS, and large-scale ETL pipelines.
Builds and maintains the hospital’s data and integration platforms (DPoP, MuleSoft Anypoint) on VMware-vSphere, focusing on DevSecOps automation, security, observability, and scalability for data/API engineers.
Build and operate the hospital’s data and integration platforms, automating pipelines and ensuring secure, scalable infrastructure for analytics and APIs.
Build and operate the hospital’s Data Platform of Platforms and Integration Platform, automating data pipelines and APIs on a private VMware-vSphere stack to enable a digital hospital.
Senior engineer maintains and improves production data platforms on Kubernetes across on-prem, AWS, and GCP, using GitOps and observability tools to ensure reliability and scale.
Разрабатывает и поддерживает ETL/ELT-процессы для загрузки данных в Data Lakehouse, строит трансформации и витрины данных, используя Python, SQL, Apache Airflow и Apache Iceberg.
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