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Own core product features for Honeycomb’s largest enterprise customers, focusing on lifecycle management, APIs, and scaling observability tools while collaborating with engineering and design in a triad model.
Leads platform development for Honeycomb’s observability tools, owning ingest, querying, and storage while aligning engineering, design, and cross-functional teams to deliver scalable solutions for developer tooling.
What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh,…
Build AI agents that investigate, reason, and act on live observability data in Honeycomb’s Canvas, leveraging a high-cardinality data store to deliver production-grade agentic tools for incident response and system understanding.
Principal Data Analyst on Adobe’s Identity Platform team, analyzing customer behavior and running A/B tests to improve admin experiences and product strategy using SQL, Python, and visualization tools.
Builds scalable data pipelines and APIs for analytics products like Portfolio Optimizer and Ad Insights using Python, Spark, and React.
Build predictive models and analytics to optimize Mastercard’s pricing and interchange strategies using Python, SQL, and cloud platforms like Azure.
Build fraud-detection models and analytics using Python, R, and SQL to uncover patterns in structured/unstructured banking data and advise business leaders on risk strategies.
Builds and deploys scalable machine-learning solutions for enterprise clients, working with MLOps platforms, cloud tools, and AI frameworks like TensorFlow and PyTorch.
Build and deploy scalable machine-learning solutions on Google Cloud for enterprise clients, collaborating with data scientists and engineers to implement MLOps pipelines and AI observability tools using Python and SQL.
Senior Software Engineer builds and maintains a cloud-native data platform using Kubernetes, Spark, and Trino to power enterprise analytics and AI/ML at a large bank.
Build and deploy AI/ML models and data pipelines to extract insights from structured and unstructured data for government and defense clients.
Design and maintain data pipelines, build analytics solutions, and train teams on data systems for government clients using Python, SQL, and cloud tools.
Pre-sales engineer who demos and designs Aerospike’s real-time database solutions for customers, translating complex tech into business value.
Lead a data team to analyze player behavior, predict churn and LTV, and optimize in-game economies for mobile games using SQL, Python, and big-data tools.
Build and optimize ETL pipelines and dashboards for Citi’s internal reporting framework using PySpark, Databricks, and Snowflake to automate billing and deliver business insights.
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