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Lead a team building high-performance analytics systems for equities trading using KDB+/Q and Python, processing real-time market data at scale.
Designs and oversees TaskUs’s cloud-based data platform, choosing compute engines, open-table formats, and tiered storage to keep analytics fast, secure, and cost-efficient for high-concurrency users.
Build and maintain scalable data pipelines using Snowflake, Kafka, Airflow, and AWS for a UK banking client.
Lead AI Engineer builds and architects AI-driven solutions, prototypes with LLMs and GenAI frameworks, and sets engineering standards for scalable, secure, and cost-efficient AI applications.
Build and maintain large-scale data infrastructure for ML pipelines, training datasets, and distributed batch/stream processing using Spark, Flink, Ray, and orchestration tools.
Designs and owns scalable data platforms for retail and downstream operations, using Databricks, AWS, Azure, Kafka, Airflow, dbt, SQL and Python to deliver governed, business-ready data products.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
Analyzes building automation systems to validate fault alerts, perform root cause analysis, and recommend corrective actions for campus facilities, ensuring efficient operations and energy performance.
Build and optimize data pipelines, storage systems, and analytics platforms using Python, Spark, SQL, and cloud services to enable predictive modeling and business insights for a global financial services firm.
Builds and maintains backend services and data integrations for a high-volume gambling platform, processing transactional and performance data to support commercial reporting and business decisions.
Design and evolve a modern cloud-based enterprise data platform using GCP, BigQuery, Airflow and Terraform, while guiding engineering teams on scalable, secure data ingestion and transformation.
Leads data products and Snowflake-based platforms, defining priorities and governance while partnering with engineering to deliver trusted, scalable analytics and data pipelines.
Build and maintain data pipelines and platforms to organize disparate data for mission-driven projects like fraud detection and national intelligence using cloud and ETL tools.
Builds pricing and interchange models using Python, SQL, and cloud tools to optimize Mastercard’s revenue and strategy across global markets.
Build and maintain scalable data pipelines and storage systems using Python, Spark, SQL, and cloud tools to power analytics and ML at a global financial services firm.
Build and improve AI-powered tools that label sensor data for self-driving cars, using full-stack web tech and ML-driven automation to train autonomous vehicle models.
Senior Manager builds and optimizes data pipelines and warehouses (Snowflake, Databricks) on AWS/Azure to turn raw tax data into insights for clients.
Lead a team to ensure the reliability and observability of Wells Fargo’s data products, resolving critical incidents and mentoring engineers.
Design and validate enterprise data platforms using open table formats (Iceberg), object storage, lakehouse architectures, governance, and streaming pipelines to support AI-ready analytics and compliance.
Designs and builds AI systems and data pipelines to automate university operations, focusing on LLM integration, ML model deployment, and enterprise system integration using Python, TensorFlow/PyTorch, and cloud services.
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