What's included

• Modeling and Setting up Databases

  Model and setup databases like postgres, mongodb, clickhouseDB, bigquery etc on a server for data management.

• Creating Automated Data Pipelines

  Create pipelines, ETLs for processing data from internal/external sources to destinations Tools preferred but not limited to: Airflow, Airbyte, Python, GCP, Spark, GKE, Kubernetes

• Setting up Business Analytics Tools and Dashboarding

  Set up business analytics tools such as metabase, retool, Power BI, Tableau etc.

• Foundational Data Architecture

  Initial DevOps work and holistic infrastructure management with alert systems, helm, whimsical, Amundsen etc