I will build etl data pipelines and data warehouses using python, AWS, airflow

arif

Bangladesh

I speak English

85 orders completed

Product Engineer with AI Powered Speed

My focus is simple: Maximum ROI with zero technical debt. 👋 🔹 Own the entire process: initial system design to deployment. 🔹 Sit with customers, gather feedback & iteratively improve products. 🔹 ...
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About this Gig

Stop relying on fragile scripts. If you are feeding data into analytics dashboards or custom AI models, you need a resilient, self-healing architecture.

As a Senior Engineer, I build production-grade ETL/ELT pipelines that guarantee data integrity and scale without manual intervention.


What I Deliver:

  • Smart Orchestration: Apache Airflow for heavy batch processing, or n8n for agile, event-driven flows.
  • Medallion Architecture: Raw, Staging, and Production layers using AWS S3 and PostgreSQL.
  • AI-Ready Pipelines: Data chunking and vectorization (PGVector) for instant LLM/RAG integration.
  • Serverless Compute: AWS Lambda for cost-effective, scalable transformations.
  • Observability: Automated Slack or Discord error alerts.


Tech Stack: Python, SQL, AWS (S3/Lambda), Airflow, n8n, PostgreSQL, Supabase.


Please message me before ordering to discuss your specific data sources and infrastructure needs!

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build etl data pipelines and data warehouses using python, AWS, airflow
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build etl data pipelines and data warehouses using python, AWS, airflow

Destination Platform:

Snowflake

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Google BigQuery

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Amazon Redshift

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Tools & Platforms:

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AWS Glue DataBrew

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