Location Berlin, Berlin, Germany Regions European Union (EU), Europe, Middle East, and Africa (EMEA) Gender Male
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Martin Biermann is the international expert for software engineering in the fields of Ad Tech and Mobile.
Graduated in Computer Science from the University of California, San Diego (USA), and the University of Potsdam (Germany), Mr. Biermann over the years became the trusted strategic partner around the development of global technical solutions
utilising a large variety of state of the art technologies.
Mr. Biermann has developed strategic roadmaps for more than 100 startups and has advised top venture capitals (i.e. HSBC, Credit Suisse, Global Founders Capital) in truly global investments, spanning 100+ countries on five continents.
In past years Mr. Biermann has directly managed teams of up to 60 engineers in the development of programmatic buying platforms in ad tech and delivered strategic roadmaps in the Mobile development of the biggest internet incubation network in e-commerce, occupying 25,000 employees worldwide (incl. Dafiti, Foodpanda, Home24, Lamoda, Namshi, Rocket Internet and Zalando).
Being an excellent problem solver, Martin Biermann provides direct strategic advice to businesses as well as detailed executable solutions. Building on top of serially proven best practises, Mr. Biermann provides tailored solutions in the development of highly scalable infrastructures, handling up to 55,000 requests per second, and the development of native mobile applications and websites, overcoming any technical constraints regional to emerging markets.
Programming languages include, but are not limited to C, C++, Erlang, Golang, Java, JavaScript, Objective-C, PHP, Python and Ruby.
Technologies around data storage models such as BigTable/Log, Document, Dynamo, Key-Value and Queue cover Cassandra, Kafka, MySQL, MongoDB, Postgres, Neo4j, Redis, SQS, Titan and ZeroMQ.
Experience in analytical data processing for batch or stream processing cover SQL, Hive, MapReduce, Spark; executed on dedicated Hadoop infrastructure or Amazon's Elastic MapReduce.
