Software Engineer Developer

Meha Dave

Software Engineer 408-***-**** **********@*****.*** CA

SUMMARY:

Software Developer with 4 years of experience specializing in Python-based web application development and microservices architecture. Proficient in designing scalable RESTful APIs, securing applications with JWT-based authentication, and developing intuitive UI components using React.js. Expertise in optimizing complex SQL queries and leveraging PostgreSQL and Oracle databases to improve data handling efficiency. Extensive experience with AWS and Azure cloud environments, enhancing system reliability and scalability through strategic deployment and management practices. Demonstrated ability to reduce server load, improve application performance, and maintain system reliability above 99.9%. Committed to applying best practices in Python development, leading peer code reviews, and mentoring sessions to boost team proficiency and code quality. SKILLS:

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Methodology: SDLC, Agile, Waterfall

IDEs: NetBeans, VS Code, Eclipse

Programming Languages: Python, JavaScript, SQL

Frameworks & Technologies: Django, Flask, FastAPI, React.js, Microservices Package & Tools: NumPy, Pandas, Selenium, TestNG

Web Technologies: HTML, CSS, JavaScript, Bootstrap, jQuery, AJAX, JSON, XML Databases: MySQL, PostgreSQL, MongoDB, Oracle, Redis Cloud Technologies & Big Data Tools: AWS (S3, Redshift, Lambda, EMR, CloudWatch, EC2, IAM, VPC), Azure (Data Factory, Synapse, Databricks, Data Lake), Google Data Flow, Hadoop, HDFS, Spark, Hive, MapReduce Application Development Tools: Git, GitHub, Jenkins, PyTest, Celery Front-end Development: React.js, Redux, RESTful APIs Version Control & CI/CD: Git, GitHub, Docker, Kubernetes EDUCATION:

Masters of Science in Electrical Engineering May 2023 San Jose State University

Bachelor of Technology in Electronics and Communication Engineering May 2021 Birla Vishwakarma Mahavidyalaya

EXPERIENCE:

ServiceNow, CA July 2023 - Current Software Engineer

• Delivered iterative software solutions by applying Agile methodologies, collaborating with cross-functional teams, and conducting daily stand-ups and sprint reviews, resulting in a 20% faster project delivery cycle.

• Developed scalable web applications using Python, Django, and Flask, designed to enhance system performance and maintainability.

• Designed and implemented RESTful APIs using Spring Framework, enabling seamless integration with Salesforce CRM and third-party systems, which improved data synchronization by 40%.

• Optimized database performance by rewriting complex SQL queries and using Hibernate for efficient data retrieval, reducing query execution time by 50%.

• Strengthened security protocols by implementing Flask Security and JWT-based authentication, mitigating vulnerabilities by 50%.

• Led peer code reviews and developer mentoring sessions using Git and GitHub, applying Python and Flask best practices to enhance code quality and team proficiency.

• Automated testing processes by developing test scripts with Selenium and TestNG, reducing manual testing efforts by 30% and increasing test coverage by 25%.

• Deployed applications on AWS EC2 and configured CloudWatch for real-time monitoring and logging, achieving 99.9% uptime and reducing downtime incidents by 15%.

Amazon, Seattle, USA April 2022 – Aug 2022 Software Development Engineer

• Developed and optimized trial data pipelines using AWS Redshift Serverless for Amazon Halo, integrating services like Athena, CloudWatch, S3, VPC, IAM, and EC2 for enhanced data management.

• Overhauled Health-tech trials data architecture, implementing networking, coding, and security enhancements, leading to a 20% cost reduction and automated data access.

• Pioneered the shift from manual to automated data access systems, establishing a robust data analytics framework to streamline data accessibility and enhance operational efficiency.

Neon IT Systems, India Jan 2020 – Jul 2021 Software Engineer

• Designed and implemented ETL pipelines using Azure Data Factory and Databricks, processing 10TB+ of data monthly and reducing data processing time by 40%.

• Constructed full-stack applications with Django, Flask, and React.js, reducing development timelines by 25% through programming.

• Optimized database interactions, accelerating query performance by 20%.

• Developed intuitive React.js components, enhancing UI responsiveness and boosting engagement by 15%.

• Leveraged AWS EC2 and S3 for deployment, trimming hosting expenses by 20%.

• Introduced Flask-based authentication systems, strengthening security and preventing unauthorized access.

• Established Jenkins and Docker-powered CI/CD pipelines, minimizing deployment issues and expediting releases.

• Conducted load testing and performance assessments, ensuring stable application behavior under peak conditions. PROJECTS:

Real-Time Data Pipeline for Sales Insights on AWS

• Built a real-time data pipeline using Amazon Kinesis, AWS Glue, and Redshift, reducing data processing time by 40%.

• Developed QuickSight dashboards for real-time sales insights, showcasing sales forecasts for timely data-driven decisions. Hulu Clone using React JS

• Developed a responsive React web application replicating Hulu’s UI/UX, integrating Flexbox, Material UI, and RESTful APIs to fetch real-time movie and TV show data from TMDB.

• Implemented user authentication with Firebase Authentication, securely stored user data in Google Firestore, and deployed the application using Google Firebase and GitHub Pages.

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