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Build and maintain scalable data pipelines using Apache Airflow, dbt, and Python on AWS to power an AI-driven digital content platform.
Build and maintain scalable data pipelines using Airflow, dbt, Python, Snowflake, and Databricks to power Moody’s AI-driven content platform.
Senior role designing scalable data pipelines and backend services, ensuring reliability and performance for a fintech platform using modern data tools like dbt, Spark, and Snowflake.
Lead a team to build and scale a modern data platform using AWS, Snowflake, Spark, Airflow, dbt, Python, and SQL for real-time mobility and fintech analytics.
Lead a team to design and build scalable Azure-based data pipelines in Python and SQL, set engineering standards, and mentor engineers while owning the data platform’s technical direction.
Build secure, scalable data pipelines and AI-ready platforms for Defence customers using Python, Kafka, Spark, and Kubernetes in air-gapped environments.
Build and maintain scalable data pipelines and platforms using Python, SQL, and Databricks to consolidate enterprise data for analytics and reporting.
Build and maintain Python-based APIs and data infrastructure that power energy-market analytics and an LLM-driven AI Analyst, using AWS, Terraform, and streaming systems.
Build and maintain data pipelines and ETL workflows in Python for an ad-tech agency, using Airflow, Kafka, Snowflake, and BigQuery.
Build and maintain high-performance trading systems and data infrastructure in Python, focusing on reliability, observability, and automation for a global investment firm.
Build and maintain enterprise-grade Python ETL pipelines and data-processing apps using Pandas, Polars, SQL, and AWS S3 for a trading-focused client.
Builds and scales high-performance market-data pipelines and APIs in Python, AWS, and Kafka to power systematic trading strategies for a quantitative investment firm.
Build and deploy AI/ML models for a public-sector client, focusing on OCR, object detection, and LLM fine-tuning using Python, PyTorch, Hugging Face, and AWS serverless tools.
Build and maintain Python-based trading systems for a major European equities exchange, including feature development, R&D, and production support.
Design and deliver enterprise Snowflake data platforms, lead client-facing technical discussions, and optimize cloud data solutions for large-scale transformations.
Lead the architecture and evolution of FloQast’s data platform, building scalable lakehouse pipelines with Apache Spark, Iceberg, Kafka, and AWS services to power analytics and product systems for 30,000+ tenants.
Builds and configures a government Databricks workspace, designs data pipelines from enterprise systems, and implements Unity Catalog and MLflow for governance and ML workflows.
Lead the architecture and development of Pantheon’s data platform, extending it to surface insights in products and power ML/LLM-driven features using Python, Snowflake, Airflow, Kubernetes, and Terraform.
Set the reliability strategy for Yuno’s AI-native payments platform on AWS, designing event-driven messaging, SLOs, and chaos engineering to keep global AI agents and payment flows running 24/7.
Design and build scalable data platforms, including databases, ETL/ELT pipelines, and data warehouses, to support analytics and BI for large-scale services.
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