Besides holding a masters degree and working as a programmer analyst, I spend a lot of time learning about the concepts of data engineering, the tools data engineers use, and how to build connections and linked services between or within Azure services. Moreover, I have been doing numerous simple and complex projects to practice what I learned. Data engineering and IoT have been like a hobby for me as I have been exploring and practicing it for fun and for preparing for a permanent career path. I find it exciting to generate real data through Raspberry Pi then connecting it to Azure for ETL, and analysis.
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After working in two data-focused roles, I have concluded that my true passion and long-term career path lies in data engineering. This realization has driven me to focus on building a strong foundation in data engineering, which I am actively pursuing through continuous learning and hands-on projects. I felt like I needed a course that provides an organized curriculum for data engineering. I chose the Data Engineering with Microsoft Azure course provided by Emeritus and Microsoft . I learned from this course many data engineering concepts including how to make Azure Data Factory orchestrate the extraction and transformation and loading of data from variety of sources to specific resources such as Azure Synapse Analytics, or Databricks.
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Although my professional work experience did not include data engineering directly, I gained the chance to improve database performance through T-SQL and use Python for automating data cleaning.
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As a T-SQL Programmer at Press Ganey, I focused on optimizing database operations through advanced T-SQL development. I created stored procedures, triggers, and functions that enhanced data manipulation, retrieval, and updating capabilities. My efforts in streamlining data operations significantly improved the accessibility and usability of key data, ensuring that stakeholders had reliable information for decision-making.
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In my role as a Programmer Analyst at Resurgence Legal Group, I leveraged technologies like Python, SQL, and Microsoft Power Automate to optimize and automate SQL database operations. I developed Python scripts that streamlined data entry and reporting processes, reducing manual labor by 40% and improving data accuracy. Additionally, I transitioned the company's data management practices from Excel-based processes to SQL-driven solutions, significantly boosting process efficiency by 50% and enhancing decision-making.
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Currently, I am expanding my expertise in Azure Data Engineering through the Data Engineering with Microsoft Azure with Emeritus in collaboration with Microsoft. For me expertise does not only mean theoretical learning but it also mean doing actual projects on the Azure portal where I can practice the concepts of data engineering. Hence, I am sharing many of my projects on this website.