About
Data engineer that helps organizations to collect and process data to arrive at actionable insights and uses these insights to make better informed decisions
Data Lake Designer & BI Developer.
A data lake is a place to store your structured and unstructured data, as well as a method for organizing large volumes of highly diverse data from diverse sources.
Data lakes are becoming increasingly important as people, especially in business and technology, want to perform broad data exploration and discovery. Bringing data together into a single place or most of it in a single place makes that simpler. Depending on your platform, the data lake can make that much easier. It can handle many data structures, such as unstructured and multistructured data, and it can help you get value out of your data.
Skills
As a data professional I manage the full development life cycle of your data lake. Extracting data from sources (on-premise or saas) set up the staging environment for storing a (temporary) copy of your data. Designing the data models or datasets required for analysis, and implementing the required process that transform your raw data into analytical datasets.
Resume
Innovative and deadline-driven data warehouse engineer with 20+ years of experience designing and developing data processing environments supporting Business Intelligence.
Summary
Harold Ten Hove
- Almelo, Netherlands
- +316 422 199 84
- info@haroldtenhove.nl
Education
Bachelor Business Administration
Hogeschool Eindhoven
Statistical Analist
VVS, Netherlands
Oracle 7 dba
Vijfhart
Microsoft SQL server Certified Specialist
Microsoft
Professional Experience
Senior data engineer
WVS, Roosendaal, Netherlands
- Lead in the design, development, and implementation of a data lake implementation on Azure
- Datasources : AFAS
Senior data engineer
JustPlugin, Breukelen, Netherlands
- JustPlugin is a supplier of EV-charging points in the Netherlands.
- Lead in the design, development, and implementation of the data-pipelines from charging-data to invoicing to a datalake on Azure
- Report and dashboard implementations using Apache Superset
- Datasources : Everon EVBOX, Exact
Senior Data engineer
113 Zelfmoordpreventie, Amsterdam, Netherlands
- 113 is the national Dutch suicide prevention centre
- Lead in the design, development, and implementation of data-pipelines and data lake on Azure
- Report and dashboard implementations using Power BI
- Datasources : Quandago (call centre software), Exact, Afas, Brightplan and others
data architect
Vattenfall BA-Wind, Hamburg, Germany
- It is Vattenfall’s ambition to remain a leader in the energy transition by developing, constructing, and operating on- and offshore wind farms, large-scale solar PV, onshore wind farms, and co-located battery storage.
- Lead in the design of an on-premise data lake implementation for offshore windfarms
data engineer
Kabel Deutschland (now Vodafone), Munich, Germany
- Kabel Deutschland is/was the greatest service provider for TV, internet and telephony in Germany.
- Lead in desing and implementation of data-pipelines for the extraction, integration and aggregation of customer-interactions on the KDG platform (telephone-calls, internet usage) and subscriptions in order to create customer profiles on behalf of marketing activities
- Technology : Oracle database including Change Data Capture
Other
Send an email for a complete and up-to-date CV
Expertise
Azure Data Lake Architecture
Design and implementation of a Data Lake Architecture based on Microsoft Azure components
ETL pipelines
ETL pipelines enable the extraction and manipulation of all kinds of data sources whether on-premise or on-line (SAAS)
AFAS connectors data capture
Extract and make the data of your Afas-saas implementation accessible and available for analytics
Exact Software data capture
Extract and make the data of your Exact-saas implementation accessible and available for analytics
On premise data lake
Make your data available for analytics in an on-premise platform based on state of the art open source tools
API design and implementation
Application Programming Interfaces (APIs) are a proven method of communication between systems. Gartner notes that providers that don’t offer API-enabled services are increasingly positioned as dinosaurs by competitors and dismissed by potential customers