Data Engineer building scalable data platforms on Azure, Databricks, and Microsoft Fabric, working with terabyte-scale datasets. I design and optimize data pipelines across ingestion, transformation, and storage layers with a focus on reliability, performance, and cost efficiency. Strong in SQL and Python, with hands-on experience in distributed data processing, data modeling, and modern lakehouse architectures. I work across cloud native ecosystems to ensure data is clean, structured, and production ready for analytics and downstream applications. I focus on systems that scale and don’t fail under pressure by prioritizing maintainability, monitoring, and efficient data movement over quick fixes. Continuously improving in orchestration, performance tuning, and end-to-end data platform design.
- Toronto, Ontario, CA
- in/vikramrajankathi
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DataAnalyticsCoursera
DataAnalyticsCoursera PublicCompleted projects for Data Analytics in Coursera
Jupyter Notebook 1
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DataAnalysiswithPyhton
DataAnalysiswithPyhton PublicData Analysis with Pyhton, Pands, Numpy, Matplotlib, Seaborn, Scikit-learn, Jyputer Notebooks, SQL, CSV, Excel, JSON, BeautifulSoup
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