Stack Developer Software Engineer

VAISHNAVI DADE

San Francisco, CA, USA *********@*****.*** +1-224-***-**** linkedin.com/in/vaishnavi-d-5a6167b6

SUMMARY

● 5+ years of experience as a Java Full Stack Developer and Software Engineer, with strong exposure to enterprise-grade

applications, BI platforms, and cloud-native architecture.

● Skilled in cloud platforms such as AWS (EC2, Lambda, RDS, S3, IAM), Google Cloud Platform (GCP), and Azure,

along with container orchestration tools like Kubernetes, Docker, OpenShift, and PCF

● Extensive DevOps experience using Jenkins, GitHub Actions, Helm, Terraform, Ansible, and secure deployment

practices with HashiCorp Vault, AWS IAM, and OAuth2

● Developed and deployed RESTful APIs; utilized advanced front-end technologies such as AngularJS and ReactJS to build

highly interactive and responsive web applications, ensuring exceptional user experiences.

● Strong background in data engineering and streaming, with hands-on work using PostgreSQL, MongoDB, Redis,

MySQL, Apache Kafka, RabbitMQ, and building scalable ETL pipelines using Pandas, PySpark, and SQLAlchemy

● Knowledgeable in machine learning and AI, applying tools like Scikit-learn, TensorFlow, XGBoost, OpenCV, and NLTK

to develop NLP, classification, and prediction models, and visualizing insights with Seaborn, Plotly, and Jupyter

Notebooks

PROFESSIONAL EXPERIENCE

Java Full Stack Developer Jan 2023 - Present

Norfolk Southern Railways Atlanta, GA, USA

● Architected a predictive maintenance platform using Java 17, Spring Boot (Actuator, MVC), and Kafka, enabling real-

time train wheel diagnostics and eliminating over 120 hours/month of manual inspections.

● Created 15+ reusable frontend modules with JavaScript, Ext JS, and Dynamic Data Grids, streamlining visual diagnostics

and reducing UI-related escalations by 40+ per release.

● Implemented asynchronous messaging systems using Jakarta JMS and ActiveMQ, improving backend event handling

capacity to 250+ messages/sec and ensuring zero data loss under load.

● Integrated enterprise-level file transfer workflows via TIBCO Business Works, EMS, and GEMS, automating 8+ nightly

jobs and minimizing manual data exchanges across staging environments.

● Deployed containerized applications on OpenShift with Gradle and CI/CD pipelines, enabling rolling updates and

reducing deployment time by 10 hours/week.

● Configured AWS S3 and Cloud Front for distributed static content delivery, cutting page load times under 1.9 seconds

across multiple geographic zones.

● Monitored system health using Datadog, Apache Log4j, and SLF4J, reducing mean time to detect and resolve production

issues by 3 business days through proactive alerting.

● Optimized database transactions with PL/SQL, JDBC, and Tomcat JDBC Connection Pooling, reducing data retrieval

latency for analytics dashboards by 4.6 seconds/query.

● Designed and implemented dynamic and responsive web interfaces for the platform using Angular and D3.js, creating

visually compelling, interactive data visualizations and user-friendly interfaces to streamline interaction with integrated

systems.

● Secured inter-system communications using JSch, Commons-Net, and Apache Commons for SFTP-based log delivery

pipelines with zero manual intervention.

● Mentored 3 junior developers on Mockito, JUnit, and enterprise patterns like DAO, Singleton, and Exception Handling,

improving test coverage and accelerating sprint velocity.

Business Intelligence Intern / Software Developer May 2021 - Dec 2021

Colburn Hill Group Bellevue, WA, USA

● Developed end-to-end ETL pipelines using SQL, Python (Pandas, Matplotlib), and Power Query, automating data

extraction and transformation to reduce manual processing time by 12 hours per week.

● Designed and deployed advanced Power BI dashboards with DAX expressions, slicers, bookmarks, and integrated Power

BI AI visuals such as Anomaly Detection and Forecasting, delivering over 50 interactive business reports.

● Created reusable, interactive data visualizations using React.js and D3.js, enabling drill-down capabilities and dynamic

parameter adjustments for enhanced user-driven analysis.

● Built scalable and secure RESTful APIs and GraphQL endpoints with Node.js, enabling seamless integration between

backend data services and frontend BI applications.

● Optimized large-scale data queries using HiveQL and Apache Spark, reducing average query runtimes from 4 minutes to

under 1 minute and improving dashboard responsiveness.

● Containerized BI applications with Docker and orchestrated deployments on AWS EC2, accelerating the deployment

pipeline and reducing environment setup time by 20 hours monthly.

● Executed comprehensive UAT testing for Power BI reports and backend services, collaborating with cross-functional teams

to ensure data accuracy and alignment with business KPIs across 15+ departments.

● Maintained version control and collaborative development workflow using Git, while documenting system architecture and

workflows with Draw.io to support knowledge transfer and onboarding.

● Leveraged Bash scripting to automate routine data processing tasks and monitor ETL jobs, improving operational efficiency

and reducing manual intervention.

● Secured sensitive credentials and environment variables using 1Password, ensuring compliance with organizational security

standards and safeguarding access during development and deployment phases.

Technical Associate -Software Developer Apr 2020 – Jan 2021

Zeta Global India

● Engineered 18+ RESTful APIs using Spring Boot and Microservices Architecture with ShedLock coordination,

leveraging teamwork to integrate audit compliance workflows, accelerating financial report processing.

● Integrated Splunk and AppDynamics, enabling tracking of over 50 million transactions per month, preventing 200+ system

outages annually.

● Optimized SQL queries and Java algorithms through analytical problem-solving, implementing Prometheus and

Grafana monitoring to reduce data processing latency from 12 minutes to 47 seconds for risk assessments.

● Built Kafka-based event-driven architecture, reducing fraud alert processing time from 15 seconds to 3 seconds and

enhancing transaction security monitoring.

● Automated CI/CD pipelines with Jenkins/Docker, integrating Splunk/AppDynamics for observability

and Python scripting, eliminating 15 manual deployment hours weekly.

● Architected event-driven microservices on AWS (EC2/S3) using Apache Kafka for data streaming, enabling scalable

handling of 500+ concurrent users during peak audits.

● Developed a Flask-based API for customer support automation, reducing manual ticket handling time by 15 hours weekly.

● Spearheaded full-stack development using Java, Python, HTML, CSS, and JavaScript to deliver 35+ tax automation tools

across 4 agile release cycles, improving operational efficiency and user experience.

EDUCATION

Master of Science in Information Technology Jan 2021 - Dec 2022

University of New Hampshire, USA

Bachelor of Engineering in Computer Science and Engineering Jun 2015 - Oct 2019

Vardhaman College of Engineering, India

TECHNICAL SKILLS

Programming Languages: Java, Python, SQL, Shell Scripting

Frameworks & Libraries: Spring Boot, Hibernate, Flask, React.js, JUnit, Cypress

Cloud Platforms: AWS (EC2, S3, Lambda, RDS, IAM, CloudFormation), Google Cloud Platform (GCP), Microsoft Azure,

OpenShift, Pivotal Cloud Foundry (PCF)

DevOps & CI/CD: Jenkins, GitHub Actions, Terraform, Ansible, Docker, Kubernetes, Helm, SonarQube, Nexus IQ, ArgoCD

Databases & Caching: MySQL, PostgreSQL, MongoDB, Redis, Amazon RDS, DynamoDB

Testing & Automation: Selenium, Gatling, Postman, JMeter, Cucumber, Mockito

Monitoring & Logging: AppDynamics, Splunk, Instana, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana)

Event Streaming & Messaging: Apache Kafka, RabbitMQ, Amazon SQS

Infrastructure & Security: Infrastructure as Code (IaC), AWS IAM, HashiCorp Vault, OAuth2, HIPAA Compliance

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket, Jira, Confluence

Build & Dependency Management: Gradle, Maven, npm, Nexus Repository

Scripting & Automation: Bash, Python Scripting, AWS CLI, PowerShell

PROJECTS

The Ocean of Breast Cancer Genome

Description: Method for the detection and quantitative analysis of messenger RNA molecules in a biological sample.

● Engineered a scalable RNA sequencing analysis workflow using Nextflow, streamlining mRNA quantification processes and

enhancing reproducibility for large-scale medical genomics research.

● Programmatically retrieved and curated genomic datasets from NCBI using Python, ensuring accurate metadata mapping

and enabling consistent downstream analysis across 10+ research experiments.

● Conducted data preprocessing using FastQC for quality control, Cutadapt for adapter trimming, and HISAT2 for

alignment, producing high-quality reads critical for accurate mRNA expression quantification.

● Leveraged Samtools for BAM/SAM format conversion and indexing, and employed Cufflinks for transcript assembly and

quantification, improving gene expression accuracy across multiple sample sets.

● Automated sequencing and preprocessing pipelines using Bash scripting, integrating steps across FastQC, Cutadapt, and

HISAT2, reducing manual task time by over 8 hours per run.

The Republic

Description: Restaurant Management Website.

● Conducted hot zone and hot cell analyses on NYC Taxi datasets to identify statistically significant spatial hot spots.

● Designed and developed a full-stack Restaurant Management Web Application using the Django Framework and MySQL,

enabling user registration, login, menu browsing, cart management, and order processing.

● Engineered dynamic frontend interfaces with HTML, CSS, Bootstrap, and JavaScript, allowing users to add/remove menu

items, specify quantities, and enter delivery details with a seamless UI experience.

● Integrated Google Maps API to provide real-time route mapping from the user’s location to the restaurant, enhancing user

engagement and improving delivery accuracy.

● Implemented location tracking and distance calculation features using Geo Maps API, optimizing delivery logistics by

identifying the shortest route between customer and restaurant.

● Deployed the application on Heroku using container-based architecture, ensuring scalability and reliable cloud-based

performance for real-world use.

● Developed modular and reusable business logic in Python, conducting unit tests with Pytest to validate order flows,

payment processes, and route calculation with consistent accuracy.

● Collaborated across frontend and backend components to ensure smooth cart checkout, payment integration, and address

handling, contributing to a stable end-to-end user experience.

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