Jorn Arjan Sijbertsma

Jorn Arjan Sijbertsma

Address: Flat 19, 25 Rossmay Terrace,

Mount Eden, Auckland, 1024,

New Zealand

Mobile: 0064 21 0842 0505

Email (all lowercase): and (private)


Date of Birth: 1st July 1977

Nationality: Dutch


A bright, talented and self-motivated GIS and Data Specialist who has excellent organisational skills, is highly efficient and has a good eye for detail. Has experience in data management, ETL (with Python and FME), the development and management of (geo-) apps, ArcGIS Enterprise solutions and software, data portals and enterprise data warehouse, Python programming, and applying geostatistics and other geospatial analytical techniques. Able to play a key role in analysing problems and come up with creative solutions as well as producing methodologies for effective information outputs. A quick learner who can absorb new ideas and can communicate clearly and effectively.

Key Skills and Competencies

Language: Dutch and English, and German and Spanish (basic)

GIS software: ArcMap (Desktop, Server (variety types of web services), SDE, Oracle, Geodatabases, Enterprise ArcGIS, ArcGIS online, ArcGIS Arcade, Portal, ArcGIS Pro, JavaScript for ArcGIS, Hub (data portal/website), Story Maps, Web App Builder, Explorer, Collector, Survey123), R, QGIS, Grass, GeoWeb, and Idrisi

Dashboard software: Tableau, Operations Dashboard for ArcGIS, Insights for ArcGIS, Python Jupyter Dashboard, Python Plotly Dashboard, R Shiny Dashboard, and Power BI desktop

Programming software: Python (Anaconda, Enthought Canopy and IDLE – most experiences with the following Python modules: OpenCV, time, datetime, date, dash, plotly, arcpy, arcgis, xml, urllib, urllib2, sys, string, os, beautifulsoup, and timedelta), R (Rstudio), Javascripting, and HTML5

Microsoft software: SQL, Word, Excel, Access, Visio, and Powerpoint

Other Software: Enterprise architecture, Google Forms, FME (Safe Software), Photoshop and Adobe (pdf)

Other: Applying Agile Project Management frameworks (e.g. Scrum and Kanban) to GIS projects, carrying out the whole process of developing geo-applications (from idea to final product (including testing)), interacting with the clients and stakeholders about the requirements of the products, developing and managing ArcGIS server systems and enterprise data warehouse, managing work and a team, supervising colleagues and students, giving presentations and GIS workshops, writing academic international articles, and teaching GIS, dashboard software, R, and Python to colleagues and clients


Courses and Specializations

2018: Use and Management of GeoWeb

Esri Nederland, Rotterdam, The Netherlands


2018: Digital Image Processing with OpenCV in Python

GEO University, E-Learning


2018: FME Desktop Basic

Red Geographics, Zevenbergen, The Netherlands


2017: Leadership Development Programme (Intern programme)

Horizons Regional Council, New Zealand


Other Activities/Interests

Hobby: travelling, reading, tramping

Sport: badminton


2016 - 2016

Short course in Geostatistics and Open-Source Statistical Computing at Geo-Information Science and Earth Observation, University of Twente, The Netherlands

The following apects of geostatistics and open-source statistical computing were taught:
– select and apply appropriate visualization and numerical techniques to explore the structure of a spatial dataset ;
– select and apply appropriate procedures to model the structure of a spatial dataset;
– select and apply appropriate procedures to predict data values at unvisited locations, using parametric and non-parametric models;
– design a sampling strategy to reveal or account for spatial structure ;
– use the R environment for statistical computing at an intermediate level and be able to improve their skills by self-study and experimentation.

2012 - 2014

Master of Philosophy, Geographic Information Systems at Massey University, Palmerston North, New Zealand

My thesis examines the performance of five spatial prediction methods for spatially estimating montane rainfall distribution and it compares the accuracy of two data gap-filling techniques for completing datasets used for spatial estimation. The five spatial prediction methods were selected on the basis of their popularity and performance in a selection of articles about montane rainfall. Also, two data gap-filling techniques were identified and applied to patch up data gaps in the rainfall data sets, their performance were compared, and the most accurate method, which was the coefficient of correlation weighting method, was used to complete the rainfall dataset. The Gaussian geostatistical simulation was the most accurate spatial prediction method on the basis of an overall ranking assessment with a small margin regression kriging was second best. I found that the strategic placing of rain gauges and removal of bad data are crucial for the accuracy of the spatial estimation.

2007 - 2009

Postgraduate Diploma in Arts, Geographic Information Systems at Massey University, Palmerston North, New Zealand

This degree included the following papers:

(1) GIS Principles and Applications: This paper covered conceptual and operational understanding of Geographic Information Systems (GIS), whereby maps and attribute data were created, overlay analysis were performed, digital terrain models were created, logical queries of the database were made, GIS to catchment analysis and axial analysis were applied, information in map form were presented and an application using ArcGIS was created.

(2) Geographic Information Systems Programming and Practice:
This paper covered the principles and practice of programming in the context of GIS and issues in GIS implementation.

(3) Applied Remote Sensing:
This paper covered the study of remote sensing systems and the application of these technologies, digital image processing and the integration of remotely-sensed data within a GIS.

(4) Research Report/Project:
The research identified an accurate spatial prediction method applied to annual rainfall.

2000 - 2003

Bachelor in Science, Environmental Technology at HAS University of Applied Sciences, ’s-Hertogenbosch, The Netherlands

This degree covered the following papers:
Ecology, spreadsheets, hydrology, cell biology, environmental economics, environmental chemistry, environmental law, ethics, planning, toxicology, microbiology, process technology, water quality & cleaning technology, environmental & sustainability management, authorizing & enforcement, ecotoxicology, Geographic Information Systems, data analysis, consulting skills, project work and a three months of a training period at environmental services.


2019 - 2020

Esri Technical Consultant at Geographic Business Solutions

Roles and Responsibilities
• Working with GIS analysts, GIS technicians and managers on their GIS needs like managing, sharing and maintaining their GIS data services.
• Installing, deploying and testing ArcGIS Enterprise Solutions (including ArcGIS Server, Portal for ArcGIS, Image Server, Web Adaptors and Data Stores) for clients.
• Documenting:
o The deployment of ArcGIS Enterprise Solutions, which include architecture diagrams, configuration steps, and deployment design
o Procedures for patching ArcGIS Enterprise environments
o Training about ArcGIS Enterprise products
o Testing procedures for deployed ArcGIS Enterprise Solutions
• Meeting and advising clients face to face about ArcGIS Enterprise Solutions (such as the maintenance of the ArcGIS Server and monitoring the performance of their GIS data services).
• Providing training about ArcGIS Enterprise products (such as Portal for ArcGIS and ArcGIS Online) to clients.
• Exchange knowledge and experiences in ArcGIS Enterprise products (for example ArcGIS Online, Survey 123 for ArcGIS, Collector for ArcGIS, ArcGIS Hub and ArcGIS Sites) with colleagues.

2017 - 2019

Advisor Geo-information at Waterschap Hollandse Delta (in The Netherlands)

Roles and Responsibilities
• Managing small activities/jobs within the geospatial data service team
• Carrying out the whole process of developing GIS applications (from idea to final product) and managing data portals in an Agile team environment
• Collaborating with clients about new functionality for new and current GIS applications
• Supervising and teaching a number of colleagues in the delivery of analyses, geospatial products and automate certain processes with Python
• Improving effectiveness and efficiency of (spatial) information production and delivery with apps and dashboards in an Agile team environment
• Improving effectiveness of mapping by using Python programming language
• Advising on environmental (spatial) information collection and delivery systems that support the outcomes of Waterschap Hollandse Delta long-term policy, research and public (spatial) information goals
• Advising on collecting info with an application, analysing and delivery of geospatial information related to water management

2006 - 2017

Environmental Information Analyst at Horizons Regional Council

Roles and Responsibilities
• Completing statistical, mathematical and Geographic Information System (GIS) analyses (e.g. modelling of meteorological data) of environmental (spatial) data as required to produce (spatial) information for specific projects and (internal and external) clients
• Improving effectiveness and efficiency of (spatial) information production and delivery (e.g. Python programming to manage web services and model rainfall, dashboard software that combines spatial and non-spatial data).
• Carrying out quality assurance checks on processed (spatial) data (e.g. reporting on supplied data using Python)
• Designing, delivering, and maintaining environmental (spatial) information tools (e.g. managing web services) to meet business and customer requirements
• Advising on environmental (spatial) information collection and delivery systems that support the outcomes of Horizons Regional Council’s long-term environmental policy, research and public (spatial) information goals.
• Working with other staff to overcome (spatial) data management problems and suggests improvements.

  • Updated 1 month ago

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