Data Processing Specialist Needed

We’re looking for a reliable Python developer or data-processing specialist to assist with extracting and refining a specific subset of NOAA AIS (Automatic Identification System) vessel traffic data.
Scope:
Pull AIS data for a defined offshore region and short date range from NOAA’s open-access sources (MarineCadastre / Coast NOAA AIS archives).
Filter and aggregate the data to create meaningful summaries of vessel activity within the area of interest.
Deliver cleaned datasets and a simple script that can repeat the extraction for other date ranges.
Key skills:
Proficiency in Python (pandas, geopandas, shapely, h3 or similar spatial binning).
Experience handling large CSV or NetCDF datasets efficiently.
Comfort with coordinate systems, spatial filtering, and writing clean, well-documented scripts.
Familiarity with NOAA or MarineCadastre data portals is a plus.
Deliverables:
Working script and minimal documentation (usage example).
Cleaned CSV/Parquet outputs for the specified region and time window.
Short read-me or run-log explaining the process and file structure.
We are not looking for web design or front-end work—this is purely data engineering and geospatial processing.
Please include a brief note on your experience handling large public datasets (e.g., NOAA, NASA, USGS, etc.) and your estimated time to complete a first regional extraction. 

The files are online. YOU will need to move them to AWS or  somewhere. 
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