Data engineer / Data analyst
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Professional experience in handling data for data cleaning, data transformation, ETL warehousing, Data Visualization (Power BI), data modeling, Exploratory Data Analysis, Statistical Data Analysis, and extensive experience working with Azure and its services, I am confident I can contribute to your data-driven initiatives.
Over the course of my career, I have had the privilege of working on various Data Engineering projects, which have honed my skills and expertise. Here's a brief overview of my qualifications:
Data Integration and Pipelines: I have designed and implemented end-to-end data integration processes, ensuring seamless data flow and transformation. My experience with Azure services, including Azure Data Factory, Azure Data bricks, and Azure Synapse, has allowed me to create efficient data pipelines that adapt to the evolving needs of organizations.
Data Visualization: I am proficient in data visualization tools like Power BI creating interactive and insightful dashboards that empower stakeholders to make informed decisions. My visualizations have simplified complex data sets, making them accessible and actionable.
Data Modeling: I have hands-on experience in data modeling techniques and tools to design efficient and scalable databases. Utilizing SQL, I have developed data models that optimize query performance and maintain data integrity.
Database Management: I have worked with various database systems, including MySQL, Oracle SQL, MS SQL, and related platforms, ensuring data storage, retrieval, and manipulation are performed effectively and securely.
Programming and Frameworks: I am well-versed in Python and its libraries, such as Pandas, NumPy, and Seaborn, to perform data analysis and visualization tasks. This has allowed me to extract meaningful insights from data and provide data-driven solutions.
