Hello there,
Data engineer with extensive experience in Azure, DataBricks and AWS, adept at job creation, workflow management, S3 mounting, Dbutils Utils, integration with code repositories, DataBricks Notebooks, and Azure Data Lake. Skilled in collecting, transforming, and analyzing large datasets for BI implementation.
Core Competencies
● DataBricks Proficiency ● Data Visualization (Looker Data Studio) ● AWS Cloud Services Mastery ● Microsoft Power BI & DAX● Advanced Machine Learning Techniques ● ETL (Extract, Transform, Load)● DataBricks ● Apache Airflow,● Efficient Workflow Management in DataBricks ●(Docker, Azure DevOps Pipeline)●● CI/CD ● AWS Cloud Services Mastery ● Git, Visual Studio, Azure DevOps, pandas, Camelot, selenium, beautifulsoup
My experience:
Data Scientist | Data Engineer
● Worked in current ongoing data science projects and successfully completed it.
● Worked in Clients Automation projects to streamline the data collection, processing, storing process, performed
statical analysis and BI development.
● Worked on deployment of backend applications over scalable cloud and process documentation.
● Worked on Internal projects and supported product development in AI technologies.
● Analyzed data requests to recommended strategies to maximize ROI from analytical efforts.
I would like to discuss further about this requirement, please ping me at your convenience time so that we can go for further discussion.
Regards,
Navina