Andrea Mostosi
Head Of Data
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolAndrea Mostosi is a versatile Head of Data with 14+ years building and scaling data platforms, machine learning pipelines, and cross-functional teams across European startups and enterprises. He combines hands-on polyglot engineering (Python, Scala, Java, Go) and cloud-native architecture (AWS/GCP/Azure, Terraform) with product leadership, having led end-to-end delivery from prototype to production at companies like Casavo, ProntoPro and Cubeyou. Comfortable across roles from sysadmin to CTO, he excels at high-traffic systems, real-time big-data processing (Spark, Hadoop) and extracting business value from complex data ecosystems. An active practitioner who also contributes to open datasets and ingestion tooling (bigdata-ecosystem), he continuously experiments with new languages and deep learning frameworks to stay ahead of emerging tech. Based in Milan, he brings a pragmatic mix of research-led curiosity and operational rigor to solve messy, large-scale data problems.
14 years of coding experience
17 years of employment as a software developer
University of Milan
Italian, English
Stackoverflow
56reputation
2kreached
2answers
1question
Github Skills (20)
csv-parse10
big-data10
data-ingestion10
data-processing10
csv-parsing10
data-set9
datasets9
data-management9
hadoop8
json8
csv6
dynamic-programming6
ruby-on-rails6
parsing6
xls6
Programming languages (6)
Github contributions (5)
zenkay/bigdata-ecosystem
Aug 2014 - Nov 2017
BigData Ecosystem Dataset
Role in this project:
Data Engineer
Data EngineerContributions:63 commits, 1 PR, 13 pushes in 3 years 4 months
Contributions summary:Andrea's contributions primarily involve updating datasets and modifying parsing scripts. They updated the CSV parsing script to handle different delimiters and encodings, processing and extracting data from the CSV files. Additionally, the user worked on updating the project and paper datasets, as well as making changes to the project documentation. Their work focused on data ingestion, processing, and maintaining data integrity within the big data ecosystem.
bigdatadatasetecosystem
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