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br413/README.md

Senior Data Engineer & Data Architect

Cloud data platforms · Lakehouse architecture · Production ETL pipelines · Data quality & observability

GitHub followers Python dbt Airflow Terraform Portfolio site production-data-pipeline v0.1.0


About

I design and build cloud data platforms that turn fragmented sources into reliable, observable, analytics-ready systems. My work spans data engineering, data architecture, and platform automation — incremental ETL pipelines, medallion lakehouse design, contract-driven data quality, and production operations on AWS, Azure, Databricks, and Snowflake.

Design for failure.
Automate repeatable work.
Measure data quality.
Document decisions.
Keep systems understandable.

Expertise

Domain Technologies & practices
Data engineering Python · SQL · incremental ingestion · ETL/ELT · API pipelines · checkpointing
Data architecture Medallion lakehouse · bronze/silver/gold layers · lineage · governance · cost modeling
Orchestration Apache Airflow · dbt · Prefect · Spark
Cloud platforms AWS · Azure · Databricks · Snowflake
Quality & observability Data contracts · schema validation · freshness checks · alerting · CI/CD

Data engineering portfolio

Production-style open-source projects with architecture docs, tests, CI, and operations runbooks.

Project What it demonstrates
production-data-pipeline Incremental API ingestion · PostgreSQL bronze layer · dbt silver/gold models · Airflow orchestration · webhook alerts · v0.1.0 release
data-quality-observability YAML data contracts · schema/null/uniqueness/freshness checks · check history · alert routing · Airflow scheduling
cloud-lakehouse-blueprint Medallion architecture manifests · Terraform IaC · IAM governance · lineage graph · validate --json for CI

Open-source contributions

Contributions to widely used data-platform projects:

Project PR Change
Prefect #22500 ✓ merged Document /api/health vs /api/ready for Kubernetes probes
Apache Airflow #69857 Update SQLAlchemy pooling link to 2.0 docs
dbt docs #9606 Troubleshooting note for prefixed custom schema names

Recent work

  • production-data-pipeline — structured ingestion summary metrics, webhook alerts for zero-record runs and Airflow failures, local scripts/check.ps1
  • data-quality-observability — customers data contract, dqo_contract_checks Airflow DAG (orders + customers)
  • cloud-lakehouse-blueprintvalidate --json for CI pipelines, deployment docs, changelog
  • Prefect — merged upstream docs PR on Kubernetes health vs readiness probes

Building in public

I publish focused, production-style data platform projects — not toy demos. Each repo includes architecture decision records, pytest coverage, GitHub Actions CI, and honest iteration through releases.

Collaboration

Open to:

  • Open-source data platform and data engineering contributions
  • Data architecture reviews and lakehouse design discussions
  • Data quality, observability, and pipeline automation tooling
  • Technical collaboration with engineering teams and OSS maintainers

GitHub activity

GitHub Stats

Top Languages


Website: br413.github.io · Portfolio: production-data-pipeline · Release: v0.1.0 · Lakehouse blueprint: cloud-lakehouse-blueprint · Data quality: data-quality-observability

Focus areas: data engineering · data architecture · cloud data platforms · lakehouse · ETL pipelines · dbt · Airflow · data quality · observability · Terraform · AWS · Azure · Databricks · Snowflake

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