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Builds and maintains Python-based microservices and APIs on GCP, integrating payment gateways, maps, and messaging while ensuring secure authentication.
Build and maintain scalable microservices in Node.js and Next.js on GCP, modernizing a logistics fleet-management platform while optimizing route-planning and GPS integrations.
Build end-to-end AI applications using Python (FastAPI), React, and LLM workflows; integrate with customer systems and deploy on GCP.
Build and maintain scalable data pipelines on Google Cloud using BigQuery, Cloud Storage, and Kubeflow, while automating infrastructure with Terraform, Kubernetes, and CI/CD tools.
Builds and maintains scalable cloud data pipelines and backend services on GCP using serverless tools like Cloud Run and Terraform.
Build and maintain integrations between Vox AI’s voice automation platform and restaurant POS systems using Python, cloud services, and AI agents.
Builds full-stack web apps and backend services in React and Node.js/Deno to support tools for autonomous eVTOL aircraft development, simulation, and certification.
Build and maintain full-stack web apps for a Canadian childcare provider using React/Angular, Node.js, Python, and Firebase, integrating with REST APIs and databases.
Build and scale fintech backend systems in NestJS/TypeScript on GCP, including payment infrastructure, ledgers, and financial APIs handling millions in daily transactions.
Builds full-stack apps using React, Node.js, and Java with Spring Boot, deploying microservices on cloud platforms and maintaining CI/CD pipelines.
Design and build scalable data pipelines and analytics solutions on Google Cloud Platform, focusing on BigQuery, Dataform, and LookML to enable data-driven decision-making for clients.
Build and maintain a customer identity data pipeline for a large European ecommerce platform using BigQuery, Python, Airflow, and Splink to unify customer records across multiple verticals.
Lead the design and optimization of data pipelines and AI platforms on GCP, using BigQuery, Dataform, and Cloud Run to build scalable ELT workflows and maintain high-performance data products.
Build and maintain a scalable data platform using GCP tools like BigQuery, Cloud Run, and Cloud Functions to support Ebury’s fintech operations.
Lead a team to build and optimize ELT pipelines on GCP using BigQuery, Dataform, and Cloud Workflows, ensuring scalable, high-quality data flows with Python and CI/CD.
Senior Data Engineer builds and maintains Ebury’s scalable data platform using Python, SQL, and GCP tools like BigQuery to enable global fintech operations.
Build and maintain automated data pipelines in Python and GCP, cleaning and validating large datasets while integrating Google Sheets, BigQuery, and APIs.
Designs and builds scalable data pipelines on GCP for a capital-markets fintech, integrating financial data sources and optimizing warehouse/lake solutions.
Designs and maintains Terraform modules to provision GCP infrastructure for new business domains, automates deployments via GitHub Actions, and operates GKE clusters with a focus on security and efficiency.
Design and maintain Terraform modules for GCP infrastructure, automate deployments via GitHub Actions, and operate GKE clusters with monitoring and security policies.
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