I build enterprise data platforms that teams can trust, operate, and extend — without needing to ask me how they work. My focus is on the intersection of data architecture, engineering rigor, and organizational impact.
The four solutions in this portfolio represent real production work: a Databricks ingestion pipeline, a dbt transformation platform, a Terraform-managed Snowflake infrastructure, and a Snowflake-native client repository. Each one was designed with the same principles: full observability, idempotent operations, automated testing, and CI/CD from day one.
I have managed 13+ Fivetran connectors across two production environments, ingesting from SQL Server, PostgreSQL, MySQL, NetSuite, Cvent, Zoom, Intercom, Amplitude, RingCentral, SharePoint, Amazon S3, and more. I understand the full ingestion-to-serving lifecycle at scale.
I am currently exploring Principal Solutions Architect and Staff Data Engineer roles where I can apply this expertise to help organizations build data platforms that actually deliver business value.
I design, build, and operate solutions end-to-end. When something breaks at 2am, I fix it — and then I build the observability to make sure it never breaks silently again.
The most valuable work is rarely the cleanest. Migrating 40 SQL views to dbt while maintaining zero downtime, or debugging API schema inconsistencies across an 18-month backfill — that is where I do my best work.
I research before I build. Every design decision in these solutions — from schemachange over Flyway to functional RBAC over user-centric roles — came from deliberate research into what fits the context.
I build systems that the whole team can understand and operate — not just me. PR review workflows, living documentation, and ETL observability dashboards are how I make that real.