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Build and maintain data-driven platforms and automation solutions using Java, Python, Docker, and Kubernetes for enterprise-scale applications.
Design and build scalable data pipelines and platforms using Python, Java, Scala, Spark, and cloud tools (GCP, AWS, Azure) to enable real-time analytics for enterprise clients.
Designs and builds scalable data pipelines and warehouses using tools like MarkLogic, Hadoop, and MongoDB, while collaborating in an agile, innovative team.
Design and implement scalable AWS data engineering solutions for enterprise customers, advising on analytics and ML architectures while managing complex cloud migrations and projects.
Builds and optimizes large-scale data pipelines and storage systems for TikTok’s recommendation engine using Java, Spark, Flink, and Kafka.
Build and optimize a global offline data warehouse for e-commerce security, ensuring data accuracy and collaborating with security teams using Spark and Hadoop.
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.
Design and build global data warehouses for a fintech brokerage, creating batch and real-time pipelines with Hadoop and cloud services to ensure reliable data quality.
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.
Build and maintain data pipelines and BI tools for TikTok’s ad monetization, using Hadoop/Spark and SQL to support analytics and dashboards.
Build and maintain scalable data pipelines, ETL/ELT workflows, and cloud-based data warehouses using SQL, Python, and AWS/GCP tools to support analytics and backend services.
Build and optimize real-time on-chain analytics pipelines using Hadoop, Spark, and Flink to process and analyze blockchain data for OKX’s crypto exchange.
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.
Builds and optimizes data pipelines, warehouses, and ETL processes using Python, SQL, Hadoop, and NoSQL to deliver analytics and insights for cross-functional teams.
Lead end-to-end AI initiatives, designing and deploying ML/GenAI solutions to accelerate product development and innovation in a large-scale engineering environment.
Build and maintain ETL pipelines, ensure data quality, and collaborate with teams to deliver reliable data products for TikTok's ad platform.
Lead the design and deployment of GenAI solutions for insurance, including RAG pipelines, vector databases, and LLM fine-tuning on AWS to deliver context-aware AI capabilities.
Build and maintain high-performance data pipelines for national security, processing large datasets to extract insights using Scala/Java, Spark, Kafka, and Hadoop.
Engineer hybrid cloud data platforms (CDP, CML, Hadoop, Spark) for a bank, hardening systems and running containerized workloads on Kubernetes/OpenShift and AWS EKS.
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
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