Data Analyst Software Engineer

MONIKA UPPALAPATI

*******************@*****.*** +1-469-***-**** LinkedIn

Professional Summary

Data-driven and solutions-oriented Data Analyst and Software Engineer with over 5 years of experience in healthcare analytics, cloud computing, and software development. Skilled in leveraging Python, R, SQL, and Java to design scalable data pipelines, predictive models, and interactive dashboards that drive actionable insights. Proficient in AWS cloud services, ETL automation, and real-time data streaming to optimize operational efficiency and patient outcomes. Experienced in developing microservices, RESTful APIs, and enterprise applications while ensuring compliance with HIPAA and GDPR standards. Adept at collaborating cross- functionally in Agile/Scrum environments to deliver innovative, data-backed solutions and support strategic decision-making. Skills

• Programming Languages: Python (Pandas, NumPy, Scikit-learn), R, Java (Spring Boot, Spring MVC), JavaScript, React JS, SQL, PL/SQL

• Data Analytics & BI: Tableau, Power BI, AWS QuickSight, Data Visualization, KPI Dashboards, Predictive Analytics, Machine Learning

• Data Engineering / ETL: AWS Glue, AWS Data Pipeline, Apache Kafka, AWS Lambda, ETL Pipeline Automation, Data Transformation & Cleaning

• Cloud Platforms & Services: AWS (S3, Redshift, RDS, EC2, Athena, SageMaker, Kinesis, CloudWatch, IAM Policies, Data Lakes), Cloud Deployment

• Databases: SQL, PL/SQL, Redshift, RDS, Athena, Structured & Semi-Structured Data Management

• DevOps / CI-CD: Jenkins, GitHub Actions, AWS CodePipeline, Version Control (Git), Deployment Automation

• Web & Application Development: REST APIs, Microservices Architecture, Spring Boot, Spring MVC, Servlets, JavaBeans, Hibernate, SOAP UI, ReadyAPI, Advanced REST Client

• Data Governance & Compliance: HIPAA, GDPR, Data Security, Encryption, Sensitive Health Data Management

• Software Development Practices: Agile/Scrum, SAFe, Code Reviews, Peer Mentoring, Full Lifecycle SDLC, Cross-Functional Collaboration

• Monitoring & Logging: AWS CloudWatch, Splunk, Log Analysis, Real-Time System Monitoring, Anomaly Detection

• Collaboration & Tools: Jupyter, AWS Databricks, Jira, Git, Confluence, Team Collaboration Professional Experience

Cigna healthcare, Bloomfield, Connecticut

Data Analyst May 2023 – Present

• Collected, cleaned, and transformed healthcare datasets using SQL, Python (Pandas, NumPy), and R, ensuring accurate patient and operational data pipelines.

• Designed and deployed interactive dashboards in Power BI and Tableau, improving clinical performance visibility and patient outcome tracking by 35%.

• Built scalable data solutions leveraging AWS Redshift, Athena, and S3 for efficient storage, querying, and analytics of medical and research data.

• Automated ETL pipelines using AWS Glue & AWS Data Pipeline, reducing data processing time for electronic health records

(EHR) by 40%.

• Conducted predictive analytics and machine learning with Python (Scikit-learn) integrated on AWS SageMaker for patient risk prediction and hospital resource optimization.

• Monitored healthcare infrastructure and application performance by analyzing logs through AWS CloudWatch and AWS QuickSight to ensure uninterrupted patient care.

• Partnered with clinical teams to integrate real-time data streaming using AWS Kinesis, enabling proactive monitoring of critical patient metrics.

• Ensured data governance, HIPAA compliance, security, and encryption for sensitive health data using AWS IAM policies and GDPR frameworks

• Collaborated using Git, Jupyter, and AWS Databricks for reproducible, scalable healthcare data analysis workflows.

• Supported clinical intelligence initiatives by migrating on-prem EHR datasets to AWS cloud data lakes for advanced patient care analytics.

Amazon, USA

Software Development Engineer July 2022 – Apr 2023

Contributed to architecting and implementing a Warehouse Management System (WMS) for Distribution Center Technologies (DCT), leveraging Agile/Scrum for design, development, testing, and continuous improvement.

Partnered with business stakeholders to gather, analyze, and translate requirements into technical specs; streamlined workflows for Amazon grocery distribution centers.

Designed and developed backend services with Java (Spring Boot, Spring MVC, REST APIs) while incorporating microservices architecture for scalability.

Built data-driven dashboards in Tableau and AWS QuickSight to monitor KPIs such as inventory turnover, order fulfillment time, and system health, driving actionable insights.

Developed complex SQL queries, stored procedures, CTEs, window functions, and PL/SQL programs for data processing, reporting, and system integration.

Implemented and maintained data pipelines for structured and semi-structured data using Apache Kafka, AWS Glue, and AWS Lambda, ensuring high availability and low latency.

Leveraged AWS services (S3, Redshift, RDS, EC2, CloudWatch, Athena) for data storage, analytics, and monitoring across multiple environments.

Automated CI/CD pipelines using Jenkins, GitHub Actions, and AWS CodePipeline, integrating DevOps best practices.

Conducted code reviews, peer mentoring, and knowledge-sharing sessions to uplift engineering and data analytics standards.

Used Splunk and AWS CloudWatch dashboards for real-time log analytics, anomaly detection, and proactive system monitoring.

Collaborated cross-functionally with analysts, data engineers, and infrastructure teams to deliver end-to-end analytics solutions supporting data-driven decision-making.

TCS, India

Associate Systems Engineer April 2019 – Dec 2020

Contributed to a migration project for USAA, San Antonio, designing and developing backend systems using Java, Spring Boot, and RESTful APIs for high reliability and low latency.

Developed middleware solutions using Servlets, JavaBeans, Hibernate, and Spring, enhancing system performance and resolving production issues.

Built responsive web applications with React JS, JavaScript, and jQuery, improving user engagement by 40% and reducing page load times by 60% through lazy loading.

Designed SOA-based applications integrating Spring MVC and implemented multithreading for parallel data processing across database tables.

Created and tested RESTful web services using SOAP UI, ReadyAPI, and Advanced REST Client, and worked with JMS queues for reliable messaging.

Performed CRUD operations and data persistence using Spring JPA; wrote complex SQL and PL/SQL queries, stored procedures, and functions for data retrieval and reporting.

Developed dashboards and visualizations in Tableau to automate reporting, accelerate data analysis, and support decision- making.

Managed deployment using UNIX Shell scripts and monitored production logs with Splunk, configuring alerts for system health monitoring.

Applied core Java concepts such as exception handling, collections, and multithreading to implement robust features.

Designed REST-based microservices using Spring Boot and Hibernate, enabling modular and scalable application architecture.

Leveraged AWS services including S3, RDS, EC2, Lambda, CloudWatch for deployment, storage, and real-time monitoring of applications.

Collaborated in Agile/Scrum and SAFe environments, participating in requirement gathering, design sessions, code reviews, and Jira-based bug tracking.

Worked with application servers (IBM WebSphere 7.0/8.5) and web servers (Apache Tomcat) for production deployments.

Conducted full lifecycle software development—from planning and design to deployment, testing, and post-production support—while mentoring juniors and sharing best practices. Education

Master of Science in Business Analytics - Texas A&M University, College Station, TX Bachelor of Technology in Computer Science and Engineering - GITAM University, Visakhapatnam, India

Contact this candidate