Marcio Gualtieri

Marcio Gualtieri

$40/hr
Full-Stack Software Developer / Data Engineer
Reply rate:
10.0%
Availability:
Hourly ($/hour)
Age:
51 years old
Location:
Eindhoven, Netherlands, Netherlands
Experience:
19 years
About

Senior developer with working experience in a wide range of business niches, from telecommunications (OSS and BSS) to advertising and financial systems. 

I'm also a trained data scientist and have completed Coursera/Johns Hopkins' Data Science Specialization in full (refer to my certifications below). I also have taken several certified courses on statistics, machine learning and cluster computing (Spark) using different programming languages (R, Python, Scala) and frameworks (Spark, TensorFlow, Keras).

I'm resourceful, self-reliant and quick to adapt (my most recent roles involved financial data, Dun & Bradstreet, target advertising, AOL Networks and fashion retail, Zalando SE).

I'm skilled working in a structured Agile team composed of business analysts, architects, developers and QA engineers, using tools such as JIRA to create and track user stories using BDD (Behavioural Driven Development) language.

I'm adept of TDD/BDD (I'm proficient using tools such as JUnit, Mockito, WireMock, Hamcrest, JBehave and ScalaTest) and clean coding (Uncle Bob's, I do follow clean code principles). Samples from my code can be found on my GitHub as well.

For the past 5+ years, I have been predominantly working with Java (Spring, Jersey, RESTful services), even though I'm originally a C/C++ Developer. I have a few other programming languages under my belt, including Python, R, Ruby (on Rails) and Hadoop PIG.

I'm always keen to learn new programming languages and I'm not religious about any particular one. The right tool for the job is my motto. As a matter of fact, I'm doing functional programming at the moment (Scala and Clojure). 

I have completed Coursera's Functional Programming in Scala Specialization in full (refer to my certifications below) and I have used Scala, as well as Python, with Apache Spark.

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