Vibhu Bhardwaj's Linkedin Analytics

I am an Analytics Engineer with a strong background in data engineering, machine learning, and web development. With a Master's in Management Analytics from McGill University, I specialize in building scalable data architectures, data pipelines, and leveraging machine learning for data-driven decisions. In 2018, I built a digital printing press from the ground up, managing operations, customer relations, vendor management, and employee oversight. Over the past few years, I’ve worked with international companies, including CAE, ALDO, and Reserva Conchal on academic analytics and research projects. These involved developing data architectures and pipelines, supporting data scientists, and creating documentation for knowledge transfer and solution health monitoring. Currently, as an Analytics Engineer at CAE, I design and implement data architectures, create scalable ETL solutions, and build dashboards for data observability. I’ve also led consulting projects, helping startups refine their strategies and pitches. I have experience in web development, working with Google Cloud Platform (GCP), React, and Firebase to build data-driven applications. Outside of work, I enjoy gardening, baking, building IoT projects with Raspberry Pi, and hiking. Skills: Programming Languages: Python, SQL, NoSQL (Neo4J), R, C++ Visualization: Power BI, Looker Studio ETL: Dbt, ADF (Azure Data Factory), Azure Synapse Analytics, Google Cloud Functions, Databricks workflows and Delta Live Tables SQL: PostgreSQL, MySQL Version Control: Git (GitHub) Orchestration: Apache Airflow Operating System: Windows, Linux Microsoft Products: Excel, Word, PowerPoint, copilot Analytics and Engineering Competencies: Scripting, Object-Oriented programming, ETL, Databases, Math & Statistics (Probability, Statistics, Calculus, Linear Algebra), Gurobi, Machine Learning, Data Science, Data Analytics, Data Lake, Data Warehouse, Data Visualization, Data Management, Command Line Interface, Cloud Platform (Azure, GCP), IFTTT, Apache spark, Docker, CI/CD Pipeline, Data extraction with APIs, Data pipelines in JSON (semi structured) format.