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Builds and maintains AI-powered data pipelines and semantic layers for a banking-focused tech platform, integrating structured and unstructured data with LLMs and graph databases.
Design and build graph data pipelines and models using Neo4j, integrating real-time data flows and ETL/ELT processes for business needs.
Lead a small team of data engineers to build and maintain robust data pipelines on Google Cloud BigQuery using SQL and Python, while mentoring and reviewing dbt models.
Lead the design and ownership of end-to-end data pipelines and AI platform infrastructure, mentoring junior engineers and implementing MLOps practices to deliver measurable AI solutions.
Designs and builds scalable data platforms to power AI and analytics, setting enterprise-wide data strategy and governance for a global fragrance and flavor company.
Builds and maintains OMOP/FHIR data pipelines to transform real-world clinical data into standardized formats for analytics and research.
Build and maintain GCP cloud infrastructure for Booksy’s data ecosystem, automating pipelines with Terraform and CI/CD to support analytics teams.
Lead the design and build of MoonPay’s real-time data pipelines and streaming systems, enabling fraud detection and ML use cases on GCP with Kafka, Pub/Sub, Apache Beam, and Kubernetes.
Designs and deploys cloud-native data pipelines and AI services on AWS for Schneider Electric’s climate-tech products.
Designs and builds cloud-native data pipelines and AI systems for Schneider Electric’s sustainability and energy-management platforms.
Senior Data Engineer at Flywire designs and builds scalable real-time data infrastructure and complex models to power financial transaction insights and analytics.
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.
Build and deploy ML models and data pipelines to solve healthcare business problems and drive global impact.
Build and maintain data pipelines, clean and structure financial data, and integrate GenAI solutions like LLMs and RAG for a banking-focused project using Python, SQL, and ETL/ELT.
Builds and maintains data pipelines and lakehouse platforms, ingesting and transforming data with SQL, PySpark, and streaming tools like Kafka.
Lead a team to design, build, and maintain scalable data pipelines using Python, SQL, and cloud platforms to support data-driven decisions across product, marketing, and finance.
Builds and maintains scalable Azure data pipelines using ADF, Databricks, and Azure DevOps to ingest, process, and automate analytics workloads.
Lead the design and build of scalable data pipelines for AI products using dbt, BigQuery, and Airflow, while mentoring engineers on modern data-stack best practices.
Design and maintain ETL pipelines using Informatica DEI/IDQ to power data-driven decisions for large clients, collaborating with business and tech teams.
Designs, builds, and maintains scalable Azure data platforms for NN Digital Hub’s Risk domain, migrating to OneBankDAP and optimizing storage, processing, and automation.
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