Pradyot Patil
Data Engineer
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolPradyot Patil is a Data Engineer with 8 years of experience building streaming and analytics pipelines at ING in Amsterdam, combining Apache Kafka, FlinkSQL and transaction-level analytics to deliver production-grade data products. He holds an M.Sc. in Data Science and Technology from TU Delft and has blended academic research—time series complexity and incident prediction—with hands-on engineering across APIs, graph databases and ETL platforms. An active open-source contributor, he maintains involvement in popmon and other community projects, and continues contributing to initiatives like IIT Bombay’s Vlabs. Pradyot is passionate about teaching and knowledge sharing, which he has practiced as a teaching assistant and mentor while driving cross-functional analytics solutions for wholesale and retail banking. He seeks opportunities that tackle real-world problems at scale and values open collaboration and continuous learning.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at Shri Ramdeobaba College of Engineering and ManagementM.Sc Data Science and Technology, M.Sc Data Science and Technology at Delft University of Technology
English, Hindi, Marathi
Github Skills (42)
statistical-tests10
ipython9
blockchain9
ethereum9
anaconda9
stability8
p2p8
python8
pyqt8
spyder8
development-environment8
pyspark8
ide8
statistics8
data-profiling8
Programming languages (3)
Github contributions (5)
pradyot-09/OrdinalEntroPy
Feb 2021 - Feb 2021
OrdianlEntroPy is a Python 3 package providing several time efficient, ordinal pattern based entropy algorithms for computing the complexity of one-dimensional time-series.
Contributions:1 release, 34 commits, 2 PRs in 3 days
entropypythoncomplexitydimensionalordinal
pradyot-09/pradyot-09.github.io
Jul 2019 - Oct 2022
Contributions:24 pushes, 1 branch in 3 years 3 months
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