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Senior Backend Engineer for a Customer Data Platform (CDP) team, building AI-driven event pipelines, Elasticsearch-based search/query layers, and sandboxed customer logic execution. Core stack: Node.js/TypeScript, Kafka, PostgreSQL, Kubernetes, and Claude Code AI agents for development.
Builds and maintains automated data pipelines to ingest, transform, and deliver data from sources like Kafka/S3/BigQuery, enabling teams to derive insights with SQL/Python and Terraform-managed infrastructure.
Designs and builds scalable GCP-based data pipelines using BigQuery and Airflow, with CI/CD for reliability.
Maintains and refines classified wargaming databases for NATO training, ensuring data accuracy and collaborating with planners under NATO Secret clearance.
Builds and maintains data pipelines for marketing systems, integrating BigQuery, ClickHouse, and external tools to support GTM and cross-functional teams.
Builds and maintains GCP-based data pipelines (BigQuery, Kafka, Airflow) for fintech analytics, compliance, and AI/ML data prep, ensuring quality, scalability, and governance in a regulated environment.
Designs and builds scalable Azure data pipelines and lakes using Databricks, Data Factory, Synapse, and Fabric to power analytics and insights.
Build and maintain large-scale data pipelines and ML platforms using Spark, Python, and Airflow while ensuring reliability and observability.
Builds and maintains a self-service ETL/ELT orchestration platform for Nordstrom, abstracting big data complexity (Kafka, S3, GCS, BigQuery, Postgres) to enable data scientists/analysts to extract insights efficiently. Focuses on cloud infrastructure (GCP/AWS), Terraform, Airflow, and data governance tools like dbt and Kafka.
Designs and maintains scalable data pipelines on GCP using BigQuery, ensuring performance and reliability while collaborating with analytics, BI, and product teams to deliver data solutions.
Designs and maintains production data pipelines for analytics, compliance, and AI-ready platforms at a fintech firm, focusing on ingestion, transformation, and data quality in a hybrid model.
Builds and maintains full-stack features for a luxury fashion e-commerce platform using AI-assisted tools, focusing on high availability and security.
Senior Full-Stack Developer builds and maintains a business application using Angular, PostgreSQL, and Python in a hybrid role.
Builds and maintains cloud-native identity governance infrastructure, automates deployments (CI/CD, IaC), and troubleshoots Azure/Kubernetes environments while collaborating with devs to improve software delivery.
Administers SAS Viya platform to configure components, automate model deployment, and manage libraries/access controls for ING’s modeling lifecycle, collaborating with SAS experts and DevOps teams.
Develops Polish business-specific features for the BeeStone Sales to Cash system, collaborating with core teams and leveraging AI tools to accelerate delivery in a full-stack Java/.NET + React/Angular environment.
Builds and maintains data warehouse systems, translates business needs into technical solutions, and monitors performance using DevOps, databases, and LLM tools.
Builds and deploys full-stack AI agent systems for Wolters Kluwer’s GenAI platform, enabling teams to develop, validate, and scale AI solutions.
Build and ship full-stack systems and AI agents for a GenAI platform used by physicians to accelerate diagnosis and treatment decisions in healthcare.
Develops and optimizes .NET-based full-stack solutions for logistics, mentors engineers, and collaborates with stakeholders to enhance system performance and scalability in Warsaw.
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