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Build and deploy data models and full-stack systems that automate finance workflows, analyze spend data, and surface insights for Ramp’s B2B customers and internal teams.
Lead a team building and scaling the data infrastructure that powers real-time trading and operational analytics for a fintech platform serving 22+ million investors.
Lead a team building and scaling the data infrastructure that powers real-time trading and operational analytics for a fintech platform serving millions of investors.
Build and maintain high-performance ad-tech platforms in Scala/TypeScript, powering global branding campaigns for premium publishers and advertisers with low-latency, real-time systems.
About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that has grown over 250 percent…
Leading analyst for outbound sales reporting and automation using SQL, Python/R, and BI tools like Tableau to track trends and prepare executive reports.
Build and scale Box’s core data services, ensuring near-real-time access and reliability for millions of requests per second using Scala/Java, MySQL, Pub/Sub, and BigQuery.
Build and maintain cloud infrastructure and CI/CD pipelines for a SaaS platform serving 3,500+ hotels, using Kubernetes, Terraform, Ansible, and AWS/GCP.
Build and maintain scalable data pipelines and warehouses using BigQuery, dbt, Python, and GCP services to ensure reliable, high-quality data for analytics and reporting.
About Wyllo Wyllo is a CX-first, end-to-end risk intelligence platform that helps ecommerce merchants manage fraud, policy abuse, and customer experience across the entire commerce lifecycle. By combining identity…
Build and deploy production-grade ML models (forecasting, pricing, customer analytics) on GCP for a private-equity firm’s portfolio companies, owning end-to-end MLOps and raising team standards.
Senior Data Engineer designs and builds scalable cloud data platforms (Medallion architecture) and ETL/ELT pipelines for enterprise BI and performance management projects using GCP tools like BigQuery, Dataflow, and Looker.
Build and maintain scalable data pipelines on Google Cloud, model BigQuery warehouses, and collaborate with ML teams to deploy models via Vertex AI.
Build and maintain ETL/ELT pipelines to integrate APIs, databases, and SaaS platforms into a central data warehouse for reporting and analytics.
Designs and builds scalable, secure data pipelines and warehouses on Google Cloud Platform, ensuring high-quality, reliable data for analytics and AI use cases.
Builds Google Cloud-based analytics and automation tools for Mattel’s manufacturing and procurement teams, using BigQuery, Looker Studio, and AppSheet to improve operational efficiency.
Build and maintain GCP-based data pipelines for a banking client, optimizing BigQuery and implementing CI/CD and MLOps practices.
Build and maintain GCP-based data pipelines and infrastructure for a banking client, using BigQuery, Python, and MLOps practices to support data science teams.
Designs and maintains GCP-based data pipelines, warehouses, and CI/CD for analytics and ML workloads using BigQuery, Dataflow, and Dataproc.
Leads a cloud-based data science team to design, build, and deploy scalable ML solutions on AWS/Azure/GCP, overseeing pipelines, cloud architecture, and stakeholder alignment.
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