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Design and maintain real-time and batch data pipelines using Apache Flink for a crypto exchange, collaborating with AI and engineering teams to ensure system stability.
Build and maintain scalable data pipelines on Azure and Databricks to support insurance analytics and reporting, ensuring data integrity and accessibility for business needs.
Build and operate a high-throughput crypto market-data platform: ingest exchange APIs, run streaming/batch pipelines, and maintain storage backends like Iceberg, ClickHouse, and PostgreSQL to serve trading desks and analytics.
Build and maintain scalable ETL pipelines and CI/CD workflows on Azure Databricks and Microsoft Azure, enabling reliable data insights and cloud cost optimization for enterprise stakeholders.
Lead a team building AI and Generative AI models for insurance underwriting, including LLMs for document analysis and risk assessment, while ensuring compliance and scalability in a regulated financial environment.
Designs and builds risk data pipelines and analytics solutions for a financial exchange’s Post-Trade and Operational Risk teams using Python, SQL, and data warehousing.
Build and optimize risk data pipelines and analytics platforms for a major exchange, enabling self-service BI and data-driven decisions in clearing and operational risk.
Builds a document IDE for non-engineers using C#, .NET, and Rust, focusing on extensibility, user research, and clean code practices.
Develop 3D vision products using advanced sensing and reconstruction techniques like digital holography and confocal imaging.
Build and optimize distributed ML training/inference pipelines for low-latency trading systems using PyTorch, CUDA, and GPU acceleration.
Builds and maintains scalable blockchain data platforms for a DeFi exchange, using big-data tools like Hadoop and Hive to analyze on-chain and trading data.
Build and maintain data pipelines, develop dashboards, and deliver insights using Python, SQL, Hadoop, and Power BI for a major bank.
Build and own end-to-end data pipelines for OKX’s global compliance systems (TMS, KYC/EDD, CMS, regulatory reporting) using Python, SQL, and orchestration tools.
Lead a team to design and build scalable Azure-based data pipelines and Lakehouse architectures using Databricks, Delta Lake, and Azure Synapse to integrate enterprise data for analytics and AI insights.
Design and maintain scalable Azure-based data platforms using Python, PySpark, and SQL to integrate data sources and optimize pipelines for performance.
Design and build scalable data pipelines and architectures using Snowflake and AWS to power analytics and insights at a growing fintech company.
Builds and optimizes ETL pipelines and BI systems using SSAS, SQL, and data warehouse tools to support analytics and reporting for a large-scale platform.
Build and maintain AI/ML models and pipelines for a large retail bank, using Python, SQL, and LLM prompt engineering to extract insights and drive decisions.
Build and deploy ML models for retail banking analytics, ensuring data quality and delivering insights to cross-functional teams.
Design and maintain ETL pipelines and data warehouses for a bank, ensuring robust data integration and compliance with financial regulations.
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