Danish V.

I build data pipelines and cloud warehouses that replace manual reporting, connect fragmented systems, and give teams data they can actually trust. My core work is GCP data engineering: BigQuery, Airflow, dbt, Python, SQL, ETL/ELT, API integrations, and data warehouse optimization. I also work across AWS, PostgreSQL, Redshift, and mixed legacy environments. I can help with: • AWS/GCP data infrastructure and cross-system integrations • ETL/ELT pipeline development and optimization • BigQuery data warehouse design, migration, and cost optimization • Airflow orchestration and production pipeline reliability • dbt transformations and analytics-ready data models • REST/API integrations and automated data ingestion • Legacy database and ETL migration to GCP • Python and SQL data engineering The technical work is only part of the job. I care about whether the pipeline is reliable, observable, maintainable, and actually useful to the people consuming the data. If you're dealing with unreliable pipelines, manual data work, slow reporting, expensive warehouse queries, or disconnected systems, send me the current setup and what you're trying to achieve. I'll give you a direct assessment of the best way to solve it.