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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.
Design and maintain Azure-based data pipelines and lakehouse solutions using Synapse, Data Factory, and Informatica to power analytics and reporting for a government client.
Lead the design and build of AI and data systems for a hyperscale data-centre company, using Azure, Databricks, and LLM tooling to drive predictive maintenance, automation, and intelligent decision-making at enterprise scale.
Build and lead Vandebron’s open data lakehouse, shaping architecture, governance, and MLOps to power green-energy analytics and AI-driven customer intelligence.
Build and maintain OKX’s risk-control data warehouse, design real-time/offline pipelines, and deliver metrics/indicators to support trading-platform risk decisions using cloud and big-data stacks.
Lead the design and operation of Airwallex’s data and AI platforms, mentoring engineers and setting best practices for scalable pipelines and AI systems.
Designs and builds scalable data platforms for AI applications, leading architecture decisions and integrating with leading AI models using Java or Python.
Leads the design and implementation of scalable GenAI and real-time data platforms at Visa, integrating secure language models to power next-gen commerce applications.
Build and scale AI-powered data platforms, integrating LLMs like OpenAI/Anthropic and designing real-time streaming systems to support enterprise GenAI applications.
Build and maintain resilient, high-throughput backend services in Java for Cloudera’s data platform, ensuring stability under massive production loads and bridging legacy Big Data with cloud-native reliability.
Lead the design of process-mining dashboards and capture digital-footprint data to drive AI-driven productivity gains across Micron’s global sites.
Lead global data platform strategy and architecture, integrating AI-driven analytics to solve complex business challenges while ensuring governance and reliability.
Lead the architecture and scaling of Kueski’s data platform, building robust pipelines and mentoring engineers to support AI-driven financial services in Mexico.
Leads architecture and long-term strategy for a scalable data platform using Python, Apache Spark, and CI/CD to drive AI-driven decision-making at a top Mexican fintech company.
Build and scale EarnIn’s real-time financial data infrastructure using AWS, Kafka, Spark, and Python/Scala to power earned-wage insights and analytics for millions of users.
Lead the architecture of finance data systems at a major crypto exchange, ensuring data integrity and compliance while integrating AI-assisted engineering.
Build and maintain the trade and position platform, integrating with exchanges and on-chain sources, and develop Python/SQL data models for reliable crypto trading data outputs.
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 scale data pipelines and architecture for a growing product company using Python, SQL, dbt, Dagster, Docker, and Kubernetes.
Designs and optimizes AWS Glue and PySpark data pipelines for a banking client, ensuring scalable ETL and high data quality while mentoring junior engineers.
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