Shiny Sherly
Data Analytics Engineer @CVS Health
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WORK HISTORY
Data Analytics Engineer @CVS Health
Irving, TX, US
Led advanced SQL and Amazon Redshift data analysis on large-scale healthcare datasets, delivering insights that optimized patient care workflows and streamlined operations. Designed and managed scalable data models within Redshift, improving query performance and enabling faster, more efficient data retrieval for cross-functional teams. Built interactive dashboards in Power BI and AWS QuickSight to visualize KPIs such as patient volume, resource utilization, and operational costs, supporting strategic decision-making. Automated ETL pipelines using AWS Glue and Lambda, reducing manual data handling and increasing the accuracy and speed of data ingestion and transformation processes. Applied Python (Pandas, NumPy) and R for statistical analysis and predictive modeling, enabling proactive forecasting and data-driven operational planning. Collaborated with healthcare, finance, HR, and supply chain teams to develop tailored reporting solutions that addressed specific business needs and improved interdepartmental efficiency. Ensured HIPAA compliance and data integrity, implementing secure access controls with AWS IAM and proactively resolving data inconsistencies to maintain trust in reporting outputs.
EDUCATION
University of Central Missouri
Master's degree
ABOUT SHINY SHERLY
With a Master\'s from the University of Central Missouri, I now apply my expertise in Computer Science specialized in Data Science as a results-driven Data Analytics Engineer with over 4 years of experience transforming complex data into meaningful insights that drive business performance. My expertise spans across SQL, Python, R, and data visualization tools like Power BI, Tableau, and AWS QuickSight, enabling me to build robust analytics solutions that empower stakeholders to make informed, data-driven decisions. I\'ve worked extensively with AWS services (Redshift, Glue, Lambda), building scalable data pipelines, automating workflows, and managing data warehouses in fast-paced environments. My background includes impactful roles in healthcare and HR analytics, where I’ve collaborated with cross-functional teams to optimize operations, improve reporting processes, and ensure data integrity and compliance (HIPAA). Skilled in advanced Excel techniques, predictive modeling, and statistical analysis, I’m passionate about solving real-world problems through data. Whether it\'s uncovering hidden trends, automating manual tasks, or visualizing KPIs that matter—I thrive on turning raw data into clarity and action. Let’s connect if you’re passionate about data, innovation, or building smarter systems for smarter decisions.
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