Summary
5+ years of experience in building scalable web applications, APIs, and ETL pipelines using Python.Strong in backend development using Python, Flask, Django, and Node.js.Developed RESTful APIs and integrated them with front-end interfaces.Skilled in React.js for building responsive and interactive front-end components. Proficient in both relational (MySQL, PostgreSQL) and NoSQL databases (MongoDB, DynamoDB). Optimized SQL queries, improving performance by up to 40%. Hands-on experience with cloud platforms AWS. Used Docker to containerize applications and streamline deployments. Built and scheduled ETL workflows using Apache Airflow. Applied Object-Oriented Programming (OOP) principles for clean, modular, and reusable code. Experience with system migrations and data integration for improved scalability. Designed and implemented data processing solutions to support business operation.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Python Full Stack Developer
Liquid Hub
07.2021 - 06.2023
- Developed end-to-end software development across the SDLC, including requirements gathering, design, coding, testing, and deployment of healthcare applications using core Python and Flask for backend logic and services.
- Built responsive and accessible UI components using React.js, JSX, and CSS to support seamless multi-device user experiences for an online healthcare portal serving over 10K daily users.
- Developed and maintained secure, scalable RESTful APIs using Flask and Node.js (depending on service needs), reducing system downtime by 25% and enabling reliable data exchange across core healthcare modules.
- Delivered backend features in bi-weekly sprints using Agile practices, ensuring timely delivery of REST APIs and bug fixes based on client feedback
- Automated backend workflows and infrastructure using modular Python scripts, adhering to OOP principles (abstraction, encapsulation), to process large healthcare datasets with high efficiency and reliability.
- Optimized API performance using Flask, reducing average response times by 75% and halving database load, significantly enhancing user experience and system scalability.
- Designed and managed complex relational schemas in MySQL and PostgreSQL and performed query optimization to enable real-time access to clinical and patient data.
- Integrated React.js frontend with Flask or Node.js backend (based on microservice architecture) to build full-stack applications supporting centralized analytics and real-time decision-making.
- Built an automated data ingestion framework using Python, Flask, and PostgreSQL, streamlining ETL pipelines for centralized healthcare analytics and reporting.
- Designed scalable DynamoDB data models using partition/sort keys and global secondary indexes to enable high-performance querying for AWS-hosted patient appointment and visit logs.
- Collaborated across cross-functional teams to develop secure, cloud-ready applications with frontend in React.js, backend in Python/Node.js, and deployments on AWS.
Python Developer
Bank Of Ireland
07.2018 - 06.2021
- Built scalable ETL pipelines using Python to automate large-scale data ingestion, transformation, and integration, improving overall processing efficiency and reducing manual intervention.
- Deployed and managed Python applications on AWS, reducing infrastructure costs by 20% while ensuring high availability, fault tolerance, and performance.
- Optimized Oracle SQL queries and managed relational data schemas to significantly reduce query latency and improve backend performance.
- Used modern development tools and version control (e.g., PyCharm, Git) to streamline team collaboration, accelerate release cycles, and minimize debugging time.
- Leveraged core Python data structures (lists, sets, dictionaries, tuples) to implement efficient, memory-optimized data workflows.
- Implemented custom generators using yield to process large data streams efficiently without exhausting memory.
- Developed robust Python scripts with structured exception handling (try-except blocks, assertions, tracebacks) to ensure fault-tolerant execution.
- Handled structured data using Python file operations—reading/writing CSV, JSON, and text files—with proper file modes and path management via the os module.
Education
Master of Science - Computer Science
05.2025
Skills
- Programming Languages: Python, JavaScript (Nodejs) (React)
- Web Development: HTML, CSS, REST API, Flask, Django
- Databases (RDBMS): SQL, MySQL, PostgreSQL
- NoSQL: DynamoDB, Mango DB
- Cloud Platforms: AWS
- Development Tools & IDEs: PyCharm, Visual Studio Code
- Version Control: Git, GitHub
- Testing & Debugging: Unit Testing (unittest, pytest), Debugging (PDB)
- Libraries & Frameworks: Pandas, NumPy
- CI/CD Tools: Jenkins, GitLab
- Operating Systems: Windows, Linux
- Data Processing: ETL pipelines
Certification
- Certified in Python Programming
- Oracle SQL Certification
Timeline
Python Full Stack Developer - Liquid Hub
07.2021 - 06.2023
Python Developer - Bank Of Ireland
07.2018 - 06.2021
Fitchburg State University - Master of Science, Computer Science
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