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Build production-grade AI systems and data pipelines end-to-end, owning schema design, ETL, FastAPI/Next.js apps, and cloud deployments on AWS/Azure.
Builds scalable ETL pipelines and data models using Java, Spark, Flink, Kafka, and NoSQL to process raw intelligence data for national security research.
Build and lead large-scale .NET full-stack systems for CBA’s wealth platforms, using ASP.NET Core, React, AWS, and event-driven architectures to power high-volume customer journeys.
Senior Data Platform Engineer builds Lunar's self-service analytics platform, Hubble, using Flink/Spark streaming, Terraform, and Kubernetes to ingest and process real-time data for scalable analytics.
Design and build scalable data warehouse systems, ETL pipelines, and data models to power Plaud’s AI-driven productivity tools using SQL, Python, and big-data tech like Spark and Snowflake.
Build and maintain scalable data pipelines, integrate diverse data sources, and ensure high-quality data processing for analytics and ML using tools like Talend, PySpark, and SQL.
Build and maintain Shopee’s big-data platform, writing scalable backend services in Java/Go/Python to power analytics, scheduling, and visualization for thousands of internal users.
Build and maintain high-performance ETL pipelines in Python and SQL to power real-time analytics and ML at a leading micromobility company.
Designs and builds scalable GCP-based data pipelines and real-time analytics for a healthcare platform, using BigQuery, Kafka, and PySpark.
Designs and maintains scalable big-data pipelines on Databricks/Delta Lake to feed BI and decision systems, ensuring reliability, cost control, and data quality for an ad-tech platform.
Senior Data Engineer builds secure, scalable pipelines and cloud data infrastructure to power real-time analytics and ML models for a cleantech firm optimizing energy storage and costs.
Build and optimize real-time data pipelines using Kafka, Flink, and Spark Streaming to power AI-driven enterprise platforms for Fortune 500 clients.
Builds and maintains automated test frameworks for Apple’s App Store analytics backend, validating data pipelines and ETL workflows using Python/Java, SQL, and CI/CD.
Build and scale global data/AI infrastructure using Kafka, Flink, Spark, Kubernetes, and Terraform to support payments and embedded finance for 250k+ businesses.
Build data-mining pipelines and ML models to extract insights from e-commerce data, tagging systems, and user behavior to optimize GMV and productization.
Build and maintain analytics-ready data marts and pipelines for a crypto exchange, using dimensional modeling, Spark/Flink, and cloud data tools to power business decisions.
Build and maintain large-scale data infrastructure for a top crypto exchange, integrating AI agents to automate scheduling, cost optimization, and incident response across distributed systems.
Principal Engineer to architect and own a large-scale streaming platform using Apache Flink, Kafka, and AWS, defining APIs, control-plane services, and operational excellence for near-real-time data processing.
Build and optimize batch and streaming data pipelines in Java and Apache Beam, orchestrate with Airflow, and ensure robust testing and observability for analytics workloads.
Designs and implements batch and streaming data pipelines using Apache Beam/Spark/Flink, optimizes jobs for performance and cost, and builds robust tests and observability for analytics and downstream services.
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