Database analytics, mapping and visualization

Database analytics, mapping and visualization
Contract type: Freelancer
Client: Distribution system operator / Energy provider
Task: Implementation of ETL processes to transform PostgreSQL/PostGIS data into an ArangoDB, creation of tools (e.g. visualisation, validation and anonymisation) and dashboards with Python.
Time period: 07/2021 to 06/2022

Project Overview

For a distribution system operator / energy provider, I analysed geospatial and structured datasets within a PostgreSQL database. I also implemented ETL processes to transform, validate and store Postgres/PostGIS datasets into a graph database (ArangoDB).

Furthermore, I developed recursive CTE queries with SQL and a corresponding dashboard with Python, which is used to visualise and validate power grids by user input. I have also implemented tools for validating and anonymising mapping datasets with SQL and Python.

Finally, all results/tools were uploaded to an internal Gitlab-Repo and supplemented with corresponding readme files (Markdown). Organizationally, the coding was structured by a Scrum process.

Technologies Used

Python Pandas Numpy Matplotlib Networkx Plotly Bokeh SQL PostgreSQL PostGIS Jupyter Lab VS Code DBeaver Gitlab Microsoft Azure Cloud

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