Pallavi Patil

Pallavi Patil

$25/hr
Building web applications, APIs, and automation systems using Python (Flask), Node.js, and SQL.
Reply rate:
-
Availability:
Hourly ($/hour)
Location:
Navi Mumbai, Maharashtra, India
Experience:
3 years
Pallavi Patil Profile Summary Results-driven Software Engineer with 3+ years of experience designing, developing, and testing scalable systems and cloud-based services. Skilled in object-oriented programming (Python, Java and JavaScript), building secure REST APIs, and delivering production-grade applications. Experienced in distributed systems, database design, and CI/CD automation. Adept at collaborating within Agile teams, resolving incidents, and ensuring live-site reliability. Passionate about crafting high-performance, maintainable code aligned with engineering best practices. Skills • Languages: Java, Python, JavaScript, PHP • Frameworks / Tools: Node.js (Express), Flask, React.js • Cloud / DevOps: Linux, Git, CI/CD, Liquibase • Databases: MySQL, PostgreSQL, MongoDB, MS SQL • Cloud & DevOps: Azure, Linux environment, Git, CI/CD • Testing & Reliability: Unit Testing, Postman, Debugging, Live-site monitoring • Core Concepts: Object-Oriented Programming, REST-based services, API integrations, Distributed computing Education University of Mumbai, Bachelor of Computer Science • CGPA: 9.6 Sept 2020 - Mar 2023 Experience May 2025 - Present Software Engineer - StrategicERP • Developed and maintained ERP modules—including Real Estate, Construction, and Budget—ensuring seamless integration, high reliability, and real-time data flow across web platforms. • Implemented automated CI/CD pipelines for smooth deployment, reducing manual intervention and improving release efficiency across environments. • Utilized Liquibase for database version control and migration, streamlining schema updates and ensuring consistency across development, staging, and production databases. Software Engineer - Kosqu Technolabs Mar 2023 - May 2025 • Built end-to-end web applications using Python (Flask) and Node.js, applying object-oriented design principles. • Developed and consumed REST APIs supporting distributed data operations across multiple systems. • Optimized SQL queries and indexes, reducing response time by 40% for high-transaction workloads. • Wrote automated unit and integration tests in Python and JavaScript, strengthening service reliability. • Participated in Agile sprints and design reviews, contributing to secure, maintainable codebases. • Managed data operations and large-scale transactions on MS SQL Server, ensuring high performance and accuracy. • Helped design test cases for database workflows and built validation scripts in Python. • Improved data quality by implementing data validation rules and error handling during ETL processes. Software Developer - Grizla Technologies Limited Oct 2022 - Dec 2022 • Created SRS documentation and actively contributed to design discussions and algorithm optimization. • Supported QA teams by writing automated test cases for REST APIs. • Participated in root cause analysis and refactoring activities to improve code quality Projects CONDITIONAL MONITORING • Developed a real-time monitoring system with Python Flask and Power BI. • Integrated SAP and SQL Server to enable predictive maintenance insights. • Implemented alert and data log systems to ensure system reliability. • Used by over 100 engineers across sites, enabling a 40–60% reduction in manual monitoring efforts and significantly lowering human error rates. Ozaveria • Built a B2B platform with responsive web (React.js) and mobile (React Native) application, using Node.js backend and PostgreSQL database. • Created an admin portal for back-office operations and implemented a lightweight access control module using Node.js and PostgreSQL. • Converted excess or unsold stock into profit by connecting businesses and generating qualified leads. IPL MATCH ANALYSIS • Analyzed IPL data -) using Python and Jupyter Notebook. • Interactive visualizations built and insights derived from large datasets. • Used internally for data storytelling and pattern recognition, increasing analytical capabilities by 30-50% within the project group
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