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Build and maintain a full-stack data platform and tooling for ecommerce data pipelines, using Python, SQL, and web scraping to integrate external sources and optimize performance.
Builds automation and workflows in TypeScript to streamline Web3 customer onboarding and improve operational efficiency using AI.
Builds and maintains Chainlink’s core data feeds and off-chain computation services that secure tens of trillions in DeFi transactions using Go, Rust, Solidity, and TypeScript.
Lead AWS cloud engineer building and maintaining EKS clusters, ETL pipelines, and monitoring for JPMorgan’s Market Data Distribution program using Terraform, Docker, and AWS services.
Builds and secures the AI-powered mortgage platform’s infrastructure using Go, Python, TypeScript, Terraform, and AWS.
Lead AWS cloud engineering for a data platform that ingests third-party market data and powers AI/ML use cases across J.P. Morgan in an Agile environment.
Owns core data products, builds reliable pipelines, and partners with teams to drive AI adoption using SQL and modern data stacks.
Build and maintain data integrations and pipelines for a customer data platform, connecting systems via APIs and ensuring reliable, secure data flows for activation and identity resolution.
Lead a team of data engineers to design and scale data platforms for analytics, building scalable pipelines and models in Databricks while driving governance and performance improvements.
Build and maintain scalable data pipelines, vector stores, and LLM-driven BI systems using Python, Spark, and cloud ML services to power real-time AI applications.
Design and maintain API-driven data integrations and pipelines for a customer data platform, ensuring reliable data flows and identity resolution across systems.
Build and maintain AWS environments for market data distribution, ingest third-party data, and collaborate with teams to meet business and regulatory needs using AWS, Terraform, Python, and SQL/no-SQL.
Oversee data-engineering projects, coordinating engineers, product managers, and partners to build reporting and analytics solutions that meet business needs.
Build and lead Humand’s data platform, integrating HR tools like HubSpot and Stripe into a centralized warehouse and enabling BI reporting for customers.
Build and optimize data models to power growth decisions for a large Latin American food-delivery platform, using SQL, Python, Airflow, and BI tools.
Build and maintain scalable data platforms and AI-driven analytics for a fintech client, collaborating with finance, marketing, and product teams to deliver insights and reporting.
Leads data-engineering projects for a culture-focused live-events platform, scoping solutions, gathering requirements, and coordinating delivery with engineers and product teams.
Senior Data Scientist builds, deploys, and maintains production ML models in a cloud-native environment, creating data pipelines and collaborating with engineering and business teams.
Build and scale a production-grade ML platform for 300+ data scientists using Databricks MLOps and AWS SageMaker, automating CI/CD, monitoring, and multi-tenant infrastructure with Python and Terraform.
Lead the design and scaling of cloud-native data pipelines and AI-assisted engineering practices using Azure Data Factory, Databricks, Spark, and Python.
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