I am a data engineer focused on building reliable, scalable, and maintainable data pipelines. With a strong foundation in Python, SQL, and PostgreSQL, I design and implement workflows that ingest, transform, and load data efficiently using modern orchestration tools like Apache Airflow and containerized environments with Docker.
I have hands-on experience developing ETL pipelines, integrating external APIs, and structuring staging layers for analytical use. I follow best practices in data modeling, pipeline design, and system reliability to ensure data quality and consistency across workflows.
Currently, I am transitioning toward a modern ELT approach—emphasizing SQL-based transformations and scalable data architectures—and expanding into cloud-based solutions. I’m seeking opportunities to work on real-world data platforms, contribute to production-grade pipelines, and continue growing as a data engineer.
Experience: 1 - 2 years
I build backend services using Node.js and TypeScript within containerized environments, using modern tools such as Docker and Drizzle ORM to ensure consistency, scalability, and clean database access. My emphasis is on reproducible local setups, clear code structure, and production-ready practices
Experience: 6 months - 1 year
I am a type-safe guy developer focused on writing clean, scalable, and type-safe code for faster and easy debugging and development.
Experience: 1 - 2 years
I use Docker for my local development environment to ensure consistent, isolated setups across projects. This makes API and database testing faster, reduces dependency issues, and simplifies setup for new environments or collaborators. I typically use Docker Compose to manage multiple services like PostgreSQL, Redis, and the Node.js backend.
Experience: Less than 6 months
Comfortable working with PostgreSQL using raw SQL and Drizzle ORM, focusing on schema design, query optimization, indexing, and caching for performance.
Experience: Less than 6 months
Experience: Less than 6 months
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