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Designs and builds large-scale data pipelines and platforms using Kafka, Spark, Scala, Hadoop, and Cloudera to process and analyze high-volume datasets.
Build and maintain ETL/ELT pipelines, data warehouses, and AI-ready data flows for Mastercard’s payment and analytics platforms using Snowflake, SAP HANA, and cloud-native tools.
Builds and maintains cloud-based ETL pipelines that process environmental datasets (energy, emissions, resources) using Python, PySpark, and AWS to power sustainability analytics.
Designs and maintains large-scale data pipelines and platforms using Kafka, Spark, Scala, and Hadoop to process high-volume datasets for enterprise clients.
Senior Data Engineer builds and maintains scalable data pipelines to power analytics and decision-making using modern tools and clean code.
Builds and maintains ETL/ELT pipelines and data warehouses for analytics, integrating enterprise systems like SAP HANA and Snowflake to support AI-ready data workflows.
Build and maintain Grow Therapy’s internal AI control plane and tooling to automate workflows, create copilots for teams, and integrate enterprise systems like CRMs and databases.
Design AI-powered tools for financial and business intelligence systems using Microsoft Fabric, Power BI, and Business Central, while automating workflows and maintaining dashboards.
Embed inside customer sites to design and deploy data pipelines, ML models, and agentic AI systems using modern lakehouse architectures and event-driven frameworks.
Build and maintain AI-powered tools and dashboards for a real-estate developer, using Microsoft Fabric, Power BI, and LLM APIs to automate workflows and analyze financial data.
Build and optimize large-scale data pipelines in Python and PySpark using Databricks, Snowflake, and AWS to power machine learning and GenAI initiatives.
Lead data engineering initiatives at a major Canadian bank, designing cloud-based pipelines, optimizing SQL/Python workflows, and shaping the sector’s data architecture and governance to transform operations.
Builds and scales Node.js APIs for a fintech company, maintaining secure server-side systems and collaborating with cross-functional teams.
Build cloud-native backend systems and data pipelines for real-time water management analytics, including time-series ingestion, AI-powered alerting, and ML model integration on AWS.
Senior backend engineer at Affirm building scalable APIs in Python or Kotlin on AWS, MySQL, and Kubernetes to support high-traffic financial services.
Build and deploy internal AI-driven tools and automation to streamline workflows using full-stack development and agentic AI for rapid prototyping and production deployment.
Build AI-native enterprise applications for financial services using full-stack development and product engineering practices across the SDLC.
Builds and improves enterprise digital banking apps using Angular, TypeScript, Node.js, and Python in a collaborative team.
Build and improve a full-stack internal app for HUB’s MGA business, using AI tools to modernize legacy code and add new features.
Build and scale C# .NET backend services on AWS, integrating AI features and RAG pipelines into a SaaS platform for agentic workflows.
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