Adam Sasiadek
Data Engineer
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolAdam Sasiadek is a pragmatic data engineer with a decade of experience building production-grade analytics platforms, currently driving data initiatives at ANWB after leading the data engineering transformation at AZ Alkmaar. He combines a strong academic grounding in research methodology and applied statistics with hands-on skills in SQL Server, Airflow, Python, ETL/Kimball data warehousing and cloud migrations, and a proven record of shipping reusable tooling (a 350-statistics package from StatsBomb). Comfortable bridging research and product teams, he has improved time-to-production for data science work through TDD and software engineering best practices. A persistent learner and Kaggle practitioner, he pairs curiosity about scientific inference with practical engineering to turn complex datasets into operational insights.
10 years of coding experience
9 years of employment as a software developer
Data Engineering, Data Engineering at Bit AcademyPostgraduate Degree Data Science, Postgraduate Degree Data Science at Vrije Universiteit Amsterdam (VU Amsterdam)Master of Science (MSc) Research Master in Psychological Methods/Applied Statistics and Developmental Psychology, Master of Science (MSc) Research Master in Psychological Methods/Applied Statistics and Developmental Psychology at University of Amsterdam
Dutch, pools, German, English
Stackoverflow
31reputation
2kreached
1answer
1question
Github Skills (11)
docker6
airflow6
unix6
ubuntu6
r-package4
network-visualization2
htmlwidgets2
visual-analytics2
visualization1
graph-drawing1
mapping-tools1
Programming languages (2)
Github contributions (5)
adamsasiadek/stat-teaching-apps
Feb 2017 - May 2017
Contributions:1 PR, 76 pushes, 21 branches in 3 months
icto-psy/schrapkaarten_to_testvision_app
Nov 2017 - Jun 2018
Contributions:2 PRs, 10 pushes, 2 branches in 6 months
shiny-appshinytransform
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