I’m a senior software engineer who enjoys building useful software and keeping it reliable as requirements change. My public projects cover web applications, Python tools, and data systems. I care about practical design, readable code, useful tests, and making systems easier to maintain.
Data engineering is also part of my work, with a particular interest in API ingestion, data quality, and lakehouse platforms.
Email: br198064@gmail.com · Portfolio · Telegram · WhatsApp
The projects here use Python, SQL, TypeScript, React, and Next.js, alongside PostgreSQL, Airflow, dbt, Docker, and GitHub Actions.
| Project | What it demonstrates |
|---|---|
| JobBoard_Dashboard | A sample job analytics interface with Next.js, TypeScript, interactive charts, and API integration. |
| data-quality-observability | A Python CLI for checking CSV data contracts, producing HTML/JSON reports, and keeping local run history. |
| production-data-pipeline | A reference pipeline for incremental API ingestion, checkpoint recovery, duplicate handling, and dbt transformations. |
| lakehouse-platform-starter | A runnable lakehouse reference using Airflow, dbt, Iceberg, and Trino. |
| cloud-lakehouse-blueprint | Lakehouse architecture, Terraform configuration, and governance validation. |
Some of my merged contributions:
- Airflow #70171 — Surface dbt Cloud failure details in task logs, with unit tests.
- Prefect #22500 — Clarify Kubernetes readiness and liveness probe configuration.
- dbt docs #9781 — Correct a Fusion telemetry example for identifying slow nodes.
I’m open to software engineering roles and contract work, including long-term collaboration with business owners and software development agencies. I can help develop new features, maintain existing applications, integrate APIs, and improve data pipelines.
This profile shows a selection of my public projects and open-source contributions. It does not cover my full professional history; the projects here are public demonstrations, separate from employer and client work.