Rajaul Uddin

I’m a Data Engineer with 7 months of production experience and 2 end-to-end pipeline projects, handling 1.4M+ records across PostgreSQL, Snowflake, and GCP. I focus on building data systems that are reliable in production and genuinely ready for analytics—designed with clear modeling, strong validation, and maintainable workflows.

In my production work, I engineered and maintained PostgreSQL-backed data flows, writing complex SQL queries and transformations to support application and operational reporting. I automated data validation and transformation tasks with Python, and I resolved 10+ incidents tied to database connectivity, schema mismatches, and data inconsistencies—improving system reliability and reducing downtime.

I also build secure, cloud-native pipelines. I implemented secure data handling using Secret Manager and role-based access controls, and mapped data flows across APIs, databases, and GCP services like Cloud Run, Pub/Sub, and Cloud Functions to support architecture decisions and faster issue resolution.

In my end-to-end projects, I delivered Medallion architecture ETL (Bronze → Silver → Gold) with dead-letter handling, normalized schemas, and data quality checks that produce structured JSON reports per run. I built analytics-ready models with dbt and orchestrated transformations using Apache Airflow, and I package APIs and services with FastAPI, JWT auth, and Docker for clean delivery.