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Builds and maintains the core distributed platform for a Swiss fintech marketplace, using Scala 3, Protocol Buffers, Elasticsearch, Jenkins, and Terraform to power structured investment products.
Build high-performance data pipelines and backend services for a major Polish media platform, using Python, Java, and big-data tools like Kafka, Spark, and Flink to process and analyze real-time data streams.
Design and build a cloud-based data lakehouse that ingests engineering and security tool data, transforms it through medallion layers, and serves analytics dashboards and AI agents.
Build and optimize scalable data pipelines using Databricks, PySpark, and Azure for a modern fintech data platform.
Builds GitHub Copilot Custom Agents and the data/context systems (MCP servers, RAG pipelines, SQL/graph DBs) that let Copilot understand codebases, SDLC rules, and compliance requirements inside VS Code.
Build and scale the data backbone for an AI-powered recruiting platform, designing PostgreSQL/Opensearch pipelines, ETL workflows, and cloud-native infrastructure to power search, analytics, and AI features.
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a DevOps environment, collaborating with analysts and engineers to deliver high-performance solutions.
Build and maintain big-data pipelines (Spark, Hadoop, Elasticsearch) to detect fraud and financial crime for a global bank, using Scala and Java/C#.
Build and maintain big-data pipelines using Spark, Hadoop, and Scala to detect fraud and financial crime for a global bank serving 36M customers.
Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Build and maintain scalable data pipelines using Spark, Hadoop, Scala, and Elasticsearch to detect financial crime and ensure compliance.
Builds and maintains scalable big-data pipelines using Spark, Hadoop, and Elasticsearch to process financial crime and fraud data for a global bank.
Builds and maintains ETL pipelines, optimizes databases, and creates data visualizations using SQL, Python, and tools like Power BI or Elasticsearch for financial-sector clients.
Build and maintain cloud-based ELT/ETL pipelines, orchestrate Docker/Kubernetes deployments, and automate CI/CD for a global scientific intelligence team using Python, SQL, and AWS/Azure.
Build and secure CI/CD pipelines, automate deployments, and troubleshoot production issues using cloud, container, and IaC tools like Terraform, Kubernetes, and Azure.
Builds and maintains Python/Django backends, React/TypeScript frontends, and AWS-hosted APIs and ETL pipelines for a fast-growing startup.
Build and maintain a scalable SaaS platform using Java, React, SQL, Redis, and Elasticsearch; design reusable client integrations and contribute to CI/CD and architecture decisions.
Build and ship AI-powered web apps and agents using LLMs, Python/Node.js, and cloud tools; integrate AI into marketing platforms and internal tools for measurable business impact.
Build and secure data pipelines for a banking client, using Scala, Spark, and cloud platforms to process large-scale data into reliable, business-ready datasets.
Design and maintain cloud-based ELT/ETL pipelines and data infrastructure to deliver research-ready datasets for a global scientific intelligence team.
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