I will build AWS and databricks data pipelines, etl and ai rag apps

India

I speak English
Cloud Data Engineer with hands-on experience in AWS (Glue, Lambda, S3), Python/PySpark, and SQL. I build scalable ETL pipelines, automate data ingestion, and optimize high-volume workflows. I focus on...
About this Gig

I am a data engineer who builds ETL pipeline solutions on Databricks and AWS with PySpark, from ingestion to production platforms.


Senior engineer and tech lead with 4 years of experience. Certified: AWS Certified Data Engineer - Associate and Microsoft Certified Azure Database Administrator Associate.


Selected results:

  • Migrated 15+ TB from SQL Server to AWS Aurora PostgreSQL with under 5 minutes downtime using DMS, Glue PySpark and Step Functions
  • Azure Databricks lakehouse processing 50M+ records per day: medallion architecture, Delta Lake, Unity Catalog, Azure Data Factory
  • Streaming at 2M+ events per day with Kafka/MSK and Spark Structured Streaming
  • Spark runtime down 45%, costs down 30%, schema incidents down 90% (80+ pipelines), Airflow failures down 40% (30+ DAGs)


AI solutions:

  • RAG chatbots with citations and natural language to SQL tools, shipped as FastAPI apps with a web UI
  • Open source on GitHub (OsamaZaidi75): pharma-rag and sql-rag


Project experience includes work for a Fortune 500 pharmaceutical client.


Packages: Data Task Sprint ($200), Pipeline Build ($750), Data Platform / AI App ($1,500). Message me before ordering to confirm scope.

Destination Platform:

Databricks Lakehouse

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PostgreSQL

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Amazon S3

Tools & Platforms:

Azure Data Factory

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Other