Omar Imad Remmo

Omar Imad Remmo

Data Engineering

Lakehouse Architecture

Data Engineering

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Distributed Computing

Parallel workloads at scale

CI/CD

Tested, repeatable delivery

Infrastructure as Code

Reproducible environments

Data Governance

Ownership, lineage & access

Data engineering beyond the pipeline.

  • Understanding how the business creates value and building data systems that support revenue growth
  • Owning data solutions from business requirements through reliable production operation
  • Applying software engineering practices to data pipelines
  • Cleaning, validating and delivering reliable data that teams can trust

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Tools

  • Python
  • SQL
  • Azure
  • Databricks
  • Apache Spark
  • Delta Lake
  • Apache Iceberg
  • Project Nessie