Manvir Sekhon
Data Engineer @Viral Nation
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WORK HISTORY
Data Engineer @Viral Nation
Created data pipelines using Google Dataflow which read in data from various sources (including PostgreSQL, MongoDB, and Azure Synapse Analytics Dedicated SQL Pool) and loads the data into Google BigQuery- Created transformation pipelines using DBT and set up DBT scheduled pipelines that run automatically on a regular cadence- Helped design dimensional models for the tables in the enterprise data warehouse (EDW) and created DBT models for some of the models- Created connected sheets for some of the tables in the BigQuery so that teams in other departments (which are more comfortable using Google sheets and excel files) can use the data that is stored in BigQuery- Helped maintain and at times modified Apache Spark ETL pipelines that were created for Azure Synapse Analytics. These pipelines read in data form Azure Blob Storage, transform the data, and then save the resulting data in Dedicated SQL Pool tables.
EDUCATION
York University
Bachelor of Science - BS
York University
Master of Arts - MA
ABOUT MANVIR SEKHON
Data Science professional with keen interest in Machine Learning, Deep Learning and Computer Vision. I have a Master\'s degree in Mathematics and a strong background in advanced numerical methods, Monte Carlo simulations and mathematical modelling.Github: https://github.com/m4nv1rLanguages: Python, R, Fortran, Java, KotlinPackages: Open-CV, PIL, Tensorflow, Pytorch, Keras, Numpy, Pandas, Matplotlib, Scikit-Learn, Pyspark
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