Michael Trepanier
Data Engineer
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolMichael Trepanier is a data engineer with nine years of experience blending electrical engineering rigor and machine learning–focused computer science to build scalable big-data pipelines. Currently at Facebook in Austin, he has a track record implementing Cloudera/Hadoop stacks, Spark-based genomics workflows, and NLP/ETL systems that turn clinical and telecom data into actionable insights. His background in RF and network engineering at AT&T gives him a rare systems-level view of data that spans from physical-layer telemetry to large-scale analytics. Proficient in Python, C/C++, Scala, SQL and tools like Oracle, Hive, and Pig, he’s comfortable moving projects from research prototypes to production. Notably, he designed end-to-end genomics and clinical-note analysis pipelines—showing a knack for applying big-data tooling to specialized scientific domains.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Electrical and Computer Engineering, Bachelor's degree, Electrical and Computer Engineering at Georgia Institute of Technology
Github Skills (36)
hail10
language-detection10
genetics10
gwas10
part-of-speech-tagger10
named-entity-recognition9
entity-extraction9
spark-ml9
machine-translation9
language-processing9
llamacpp9
text-classification9
pyspark9
question-answering9
bioinformatics9
Programming languages (3)
Github contributions (5)
mptrepanier/spark-saturday-advanced-hail
Oct 2018 - Oct 2018
Contributions:9 commits, 24 pushes, 1 branch in 3 days
mtrepanier3/hail_ml
May 2017 - May 2017
Contributions:9 pushes, 1 branch in 14 days
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