Senior Data Engineer leading the growth of Formation Bio’s data platform, delivering scalable governance, compliance, and automation solutions with Snowflake and Dagster.

Expanded Snowflake into a company-wide platform by leading a full RBAC redesign, creating structured team roles, and establishing clear data ownership and access practices.

Designed and implemented automated backup and restore workflows in Snowflake to meet FDA requirements, ensuring reliable data retention and recovery beyond native capabilities.

Developed and maintained Dagster pipelines for large-scale ingestion and analytics, with CI/CD automation to streamline dbt deployments and improve platform stability.

Built an in-house, Terraform-managed governance solution that replaced a vendor service, simplifying access management and adoption across the company.

Adopted AI development tools (Claude with MCP servers) to accelerate SQL and Python delivery, significantly improving engineering velocity.

Promoted to Senior Data Engineer for driving advancements in governance, compliance, and platform engineering.

C#, Net Core, Bash, Terraform, Azure Functions, Azure CosmosDB

Freelance Consulting, Built new data ingestion platform for international testing company that processes 10,000+ events daily

Utilized CI/CD pipelines in Azure to deploy full terraform infrastructure to cloud with zero downtime

Implemented full automated end to end testing of ingestion functions as part of pipeline that allowed quick releases with reliability ensured

Consulting - Feedback Platform; New York, NY

Spring Boot Java, GoCD, React, Redux, TypeScript, MySQL, Hibernate

Implemented features on Java Spring Boot backend microservices and on React Redux with Typescript frontend

Full stack developer on team supporting feedback product for global consultancy

Championed Epic to automate business configuration rules from manual Json updating by developers to business driven validated and audited solution which reduced manual workload for team by on average 20%

Lead creation of solution for scenarios where multiple user instances of frontend caused data loss, reducing instances of user data loss by 33%.

Managed deployments through GoCD pipelines to Kubernetes cluster with monitoring tools via Splunk, NewRelic, and Prometheus

Introduced major overhaul of the automated Cucumber Selenium journey tests for the project which allowed for repeatable dynamic runs that randomized elements for more comprehensive testing

Data Startup - Data Pipeline/Exchange; New York, NY

Python, Terraform, AWS Lambda, AWS DynamoDB

Delivered a serverless data pipeline/exchange MVP for a new company created to help data sharing for different groups

Architected with team design of data exchange from a total greenfield baseline to a full infrastructure of AWS resources including Python Lambdas, S3, Cloudwatch logging, DynamoDB, as well as connection to a data warehouse on Snowflake

Worked as SME for terraform work on the project, and helped lead design for the full infrastructure of the project in terraform along with building and deploying with Docker