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Build and optimize data pipelines using Python, PySpark, and HBase to power analytics and rule-based systems for a fintech-focused software team.
Builds and optimizes Python-based data pipelines using Spark, PySpark, and HBase to process and transform large datasets for backend services and APIs.
Build and optimize data pipelines to process large financial datasets, then engineer ML features and models that power AI-driven banking solutions using Python, Spark, and NoSQL databases.
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.
Builds and maintains core data infrastructure using Java, Python, and tools like HBase, Hadoop, and Redis, while handling DevOps/SRE tasks across thousands of servers.
Builds and maintains data infrastructure and SRE tooling using Java, Python, Django, Dropwizard, HBase, and Hadoop in a cloud environment.
Builds and optimizes large-scale data pipelines and storage systems for TikTok’s recommendation engine using Java, Spark, Flink, and Kafka.
Build and optimize large-scale recommendation system architectures using big data tools like Spark and Flink to process and analyze user data for TikTok’s AI-driven content feeds.
Build and maintain analytics-ready data marts and pipelines for a crypto exchange, using SQL, Spark, and cloud tools to power business decisions and product improvements.
Builds and optimizes Shopee’s e-commerce data warehouse and real-time analytics systems using big data tools (Spark, Flink, Kafka) and SQL, while exploring AI-driven data solutions.
Designs and maintains large-scale data pipelines and warehouses using Hadoop, Spark, and SQL, transforming raw data into analytics-ready datasets.
Build and optimize Shopee’s e-commerce data warehouse and real-time pipelines using Spark, Flink, Kafka, and SQL to power BI, data products, and ML algorithms.
Build and optimize data pipelines, ETL/ELT processes, and cloud-based analytics systems using Snowflake, GCP, and Apache Ni-Fi to support AI-driven workloads for smart manufacturing.
Designs and builds data pipelines and warehouses for a bank using Hadoop, Spark, and Teradata, enabling analytics and ML model development.
Build and scale a global data platform for a consumer internet company, designing data warehouses and pipelines to support content, e-commerce, and advertising ecosystems.
Builds and maintains backend systems for Shopee’s anti-fraud and data security platforms, using Go/Java/Python and big-data tools like Spark/Flink to support risk analysis and model training.
Build and maintain data-driven risk platforms using big data tools like Hadoop, Flink, and Spark to support real-time security decisions in a fast-paced ecommerce environment.
Build and optimize big-data pipelines and analytics using Hadoop, PySpark, Scala, and Python to process large-scale datasets and integrate data from multiple sources.
Build and optimize Java Spring Boot microservices for data processing using Flink and Spark to power trading insights at a leading crypto exchange.
Build secure, high-reliability payment systems handling millions of transactions daily using Go/Python/Java, MySQL/Redis, Kafka, and microservices.
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