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Build and optimize data pipelines using PySpark and Databricks to process large-scale datasets, ensuring performance and reliability for analytics and AI workloads.
Designs and maintains scalable data pipelines for a cybersecurity platform using Python, PySpark, and cloud infrastructure to process large datasets in real time.
Build and deploy production-grade ML and generative AI models on AWS for fraud, identity, and decisioning products, collaborating with data scientists and engineers to productize solutions.
Build and maintain automated test frameworks for a cloud-based big-data analytics platform using Python, PySpark, SQL, Databricks, and Playwright/Selenium to validate data pipelines and services.
Build and maintain scalable data pipelines for machine learning using Python, PySpark, SQL, and cloud platforms, collaborating with cross-functional teams to deliver AI solutions.
Leads a team building a multi-agent GenAI system to detect and prioritize data-quality anomalies for Sberbank’s risk management, from hypothesis testing to production deployment.
Build and maintain scalable AWS-based data pipelines and analytics platforms using Python, PySpark, and medallion architecture to power Taylor & Francis’s media and publishing products.
Data Engineering is a small, high-leverage platform team serving every Sunday entity (insurance, broker, care, technology) across two countries. We run one lakehouse and a set of frameworks — not a pile of one-off…
Build and migrate data pipelines using PySpark and Databricks, designing Lakehouse architectures and optimizing SQL/Spark workloads for a data platform transition.
Senior Data Engineer to migrate and modernize a data platform from BigQuery to Databricks, building PySpark pipelines and lakehouse architecture with Delta Lake and Unity Catalog.
Senior Data Engineer builds SAP BW and Palantir Foundry pipelines to integrate industrial helicopter data, using ABAP, PySpark, and SQL in an Agile team.
Design and implement enterprise-scale Databricks Lakehouse architectures, lead client engagements, and optimize Spark-based pipelines for secure, high-performance AI and data workloads.
Build and maintain scalable data pipelines on Databricks and Azure, using PySpark/Scala and SQL to process manufacturing or energy data for analytics and reporting.
Designs and builds data pipelines to migrate financial data into Microsoft Fabric, transforming structured/unstructured data for Power BI dashboards and self-service analytics. Core tools: Fabric Lakehouse, SQL, PySpark, and Power BI.
Lead the design and deployment of agentic AI systems for Citi’s banking operations, using Python, Google ADK, LangChain, and LLMs to automate workflows and reduce risk.
Design and deploy enterprise AI solutions, agents, and RAG workflows using Python, SQL, and cloud platforms like Vertex AI and Databricks to automate and enhance CN’s logistics operations.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Lead the design, development, and deployment of AI/ML models and generative solutions to solve complex business problems, guiding cross-functional teams through the full data science lifecycle.
Lead a team to design, build, and deploy AI/ML systems including generative models and vector databases, using Python, PySpark, SQL, and cloud platforms.
Lead AI/ML strategy and research for next-gen networking, focusing on GenAI, Graph ML, and cloud-scale systems to shape product vision and technical roadmap.
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