Vivek Pandya
Senior Analytics Engineer @Cooke Inc.
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WORK HISTORY
Senior Analytics Engineer @Cooke Inc.
Driving Cooke’s global data strategy through robust analytics architecture and scalable solutions. I work across Snowflake, dbt, SSMS, and CI/CD workflows to build performant data pipelines and enforce engineering standards. Hands-on with Fivetran, APIs, and Azure Functions for ingestion and orchestration.On the advanced analytics side, I design ML architectures using Cortex AI and Snowpark, and deliver insights through Streamlit apps, Power BI, and Microsoft Fabric — including Power BI administration. My role also includes mentoring junior engineers and advising business teams across finance, sales, procurement, fish farming, and biological inventory, bridging technology with real business impact.
EDUCATION
University of New Brunswick
Master of Business Administration - MBA, International Business
Gujarat Technological University (GTU)
Automobile Engineering
BSB - Burgundy School of Business
MSc, Data Science and Organisational Behaviour
ABOUT VIVEK PANDYA
As a results-driven Data Engineer and Data Scientist, I specialize in building scalable data pipelines, optimizing cloud data warehousing solutions, and integrating machine learning models to deliver actionable business insights. With over 3 years of hands-on experience, I leverage cutting-edge technologies like Snowflake, dbt, MS Azure, Databricks, and Alteryx to tackle complex data challenges and empower data-driven decision-making.My expertise includes:Data Science & Machine Learning: Proficient in designing machine learning models (classification, regression, clustering) using Python (Scikit-learn, Pandas, NumPy, TensorFlow, PySpark) and R. Experienced in integrating ML workflows with Snowflake via Snowpark.Data Transformation & Modeling: Adept at transforming, cleaning, and normalizing datasets using dbt, Python, SQL, and Snowflake, alongside tools like Fivetran, Dell Boomi, SSIS, and Snowpipe.Cloud & Data Warehousing: Extensive experience with Snowflake and MS Azure for scalable cloud data storage and processing, optimizing query performance, and managing large datasets.Data Visualization & Reporting: Skilled in creating interactive dashboards and data visualizations using Power BI, Tableau, Streamlit, R Shiny, and Python libraries (Matplotlib, Seaborn). Able to present complex insights in a clear and impactful way to stakeholders.ETL & Automation: Expertise in automating ETL workflows and business processes using Alteryx, Python, and SQL, with experience in workflow orchestration tools like Airflow.Programming & Collaboration: Strong command of Python, R, SQL, T-SQL, DAX, Bash, and more. Skilled in version control with Git, and proficient with Docker/Kubernetes for containerized application deployment.Financial & Statistical Analysis: Proficient in financial modelling, Monte Carlo simulations, and statistical analysis using tools like JASP, Gretl, and R.I thrive on solving complex data challenges and enjoy collaborating across teams to build robust data-driven solutions. If you\'re looking for someone passionate about data engineering, machine learning, and cloud-based analytics, let\'s connect!
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