I will build production ready etl data pipelines with airflow on aws gcp azure

Stop Losing Time (and Money) to Broken Data Pipelines

Stale spreadsheets. Manual CSV exports. Pipelines that break weekly. 

That's not a data problem it's a revenue problem.

I build production-grade data pipelines that run reliably, scale, 

and give your team data they can trust on autopilot.

WHY WORK WITH ME

- 4+ years building ETL/ELT on AWS, GCP and Azure

- 5M+ records/month delivered for 15+ businesses

- Finance/accounting background I get the business impact, not 

 just the code

- Every pipeline ships with docs + a handover call

️ WHAT YOU GET

- API, database & cloud data ingestion

- Batch or real-time ETL/ELT

- Orchestration & automation (Airflow, GitHub Actions, n8n)

- Data quality checks: nulls, schema, deduplication

- Cloud-native builds on AWS, GCP, or Azure

- Warehousing & transforms (dbt, Snowflake, BigQuery, Redshift)

- Dockerized, CI/CD-ready deployments

- Optional AI/ML & analytics integration

STACK

Python, SQL, PySpark, Airflow, Kafka, dbt, Databricks, AWS, GCP,  Azure, Snowflake, BigQuery, Redshift, Docker, GitHub Actions, n8n

Not sure what you need? Message me first describe your setup  (or just say "it's a mess") and I'll tell you the right fit,