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Design and build scalable cloud data platforms on Azure/Databricks, integrating real-time and batch pipelines for large, diverse datasets while mentoring teams and advising clients.
Build and maintain scalable data pipelines using Spark, Azure Synapse, and Databricks to feed Manulife’s Enterprise Data Lake, ensuring reliable analytics for insurance and financial operations.
Lead cloud data-architecture projects for banking clients, designing Azure/AWS-based data pipelines, warehouses, and analytics solutions using Spark, Kafka, and Snowflake.
Designs and delivers end-to-end big data solutions for global enterprises, modernizing architectures and leading cloud migrations for industries like e-commerce, gaming, and fintech.
Lead a team to design and maintain automated testing frameworks for Java-based cloud-native apps and data pipelines, reducing manual testing and improving CI/CD workflows.
Design and build scalable data platforms and pipelines for analytics, AI, and ML at a major investment firm, using Python, SQL, and cloud tech like AWS/Azure.
Build and deploy ML models, optimization algorithms, and dashboards to analyze customer behavior and improve financial products using Python, R, SQL, Spark, TensorFlow, and Tableau.
Builds and deploys ML models and LLMs to analyze banking data, detect fraud, segment customers, and support risk decisions using Python, SQL, and cloud platforms.
Leads end-to-end Quantexa implementations for financial crime use cases, designing scalable entity-resolution architectures and mentoring teams on Spark/Scala pipelines.
Build and maintain large-scale data pipelines and analytics platforms using Hadoop, Spark, and related big-data tools to process and analyze massive datasets for enterprise clients.
Senior Data Scientist builds optimization and predictive models to power Nike’s global supply chain, focusing on sourcing, manufacturing, and supply planning using Python, SQL, and cloud platforms.
Lead a team building AI/ML models for pattern recognition, anomaly detection, and predictive analytics to support military decision-making and survivability in surveillance environments.
Build AI-driven models for national security, analyzing geospatial and operational data to detect threats and support military decision-making using Python, SQL, and deep learning.
Build and deploy AI/ML models, LLM-powered apps, and agentic systems to solve industrial and sustainability challenges using Python, Spark, and cloud platforms.
Design and maintain ETL/ELT pipelines, cloud data warehouses, and BI dashboards using SQL, Python, and tools like Snowflake and Tableau.
Build and maintain PySpark/Hadoop pipelines to process marketing data, support A/B testing and MMM, and enable CRM/CDP analytics for Visa’s global campaigns.
Lead a team of data engineers to build and scale the revenue data mart for RingCentral, integrating Hadoop, Snowflake, and AWS pipelines to power finance, sales, and executive reporting.
Senior data engineer building AI/ML pipelines and analytics systems to extract insights from structured and unstructured data for government clients.
Leads enterprise data, analytics, and AI solutions for a bank, designing scalable platforms (Databricks, Snowflake, etc.) and driving compliance, risk management, and customer insights via Python, ML, and NLP.
Designs and leads enterprise-scale data/analytics platforms for a bank, integrating AI/ML, cloud-native tools, and regulatory-compliant architectures to enable real-time insights and predictive modeling (e.g., fraud detection, credit scoring).
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