Naved J.
Data Engineer Analyst @Cigna Healthcare
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WORK HISTORY
Data Engineer Analyst @Cigna Healthcare
Dallas, TX, US
At Cigna Healthcare, I work as Data Engineer / Analyst building and operating scalable, production-grade data pipelines that convert complex healthcare data into trusted, analytics-ready datasets. I design and automate Python + AWS Glue ETL workflows processing 10M+ records/day, integrate secure REST APIs (token-based auth) for third-party ingestion, and deliver reliable data layers across S3, RDS, and Redshift to support business-critical dashboards with 99.9% uptime. I strengthen data quality through validation, logging, and error traceability, optimize large-scale processing (including Spark tuning to cut runtime by 50%), and ensure resiliency with retry logic, checkpointing, and alert-based monitoring. I also support data visualization and executive reporting by enabling clean, well-modeled datasets for Power BI/Tableau-style dashboards and KPI tracking, partnering with stakeholders to turn metrics into actionable insights making me a strong fit for both Data Engineer and Data Analyst responsibilities.
EDUCATION
Narayana Junior College - India
Intermediate, MPC
University of North Texas
Master's degree, Information Science/Studies
Geethanjali College of Engineering and Technology
Bachelor's degree, Computer Science
ABOUT NAVED J.
Pursuing a Master\'s degree in Information Science at the University of North Texas, I currently enhance data-driven healthcare as a Data Analyst at Cigna Healthcare. My core competencies in designing ETL pipelines, dashboard development, and machine learning model implementation enable effective decision-making and operational efficiency within our healthcare analytics team.At Cigna Healthcare, our team has automated real-time data processes, reducing manual intervention significantly. By leveraging my skills in Python, Tableau, and healthcare data standards, we\'ve improved patient care outcomes. I\'m committed to fostering an environment that values data integrity and interdepartmental collaboration, contributing to a culture of continuous improvement and innovative patient care solutions.
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