Python Developer Resume Parsippany, NJ - Hire IT People

SUMMARY

Close to 7 years of professional experience as Python Developer with hands - on experience in complete SDLC including requirements gathering, architecture, design, development, testing and deployment.
Experience in Machine Learning and Deep Learning using NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch and Keras libraries.
Strong experience in using Python for ETL, process automation, data processing and data analysis.
Experience in data visualization using Python, Matplotlib and Tableau.
Experience in AWS Cloud services like IAM, EC2, S3, RDS, DynamoDB, SQS, SNS and CloudWatch.
Extensive experience in working with SQL and No SQL databases such as Oracle DB, PostgreSQL, SQL Server, MySQL, MongoDB and DynamoDB.
Experience in development of microservices and REST APIs using Spring Boot framework.
Experience in development of front-end UIs using Angular, JavaScript, HTML5, CSS3 and Bootstrap.
Experienced in writing and implementing test cases using PyUnit, JUnit, Mockito, Karma and Jasmine.
Experience in building CI/CD pipelines using Jenkins for deployments in Kubernetes.
Experience in using build tools like Maven, Gradle and npm. Used monitoring tools like Log4j, AWS CloudWatch and Grafana.
Experience in Agile/Scrum methodologies and Test-driven development (TDD).

PROFESSIONAL EXPERIENCE

Confidential, Parsippany, NJ

Python Developer

Responsibilities:

Worked on vehicle damage detection application in Python which fetches video streams from cameras, extracts images and generates condition capture reports.
Worked on using the images for damage detection using both in-house and 3rd party AI models.
Used AWS cloud services- Panorama, EC2, S3, RDS, DynamoDB, CloudWatch, SQS, SNS.
Developed REST APIs using Java Spring Boot. Implemented Kafka producer and consumer microservices.
Extensive use of SQL queries to store and extract data from both cloud and on-prem databases. Used DynamoDB for storing large data in JSON format.
Developed new features in front end vehicle damage management portal using Angular.
Set-up SQS, SNS and SES in AWS for sending alerts and statistics reports to business managers for review.
Performed Unit testing with JUnit and Mockito for Java and Karma and Jasmine for JavaScript framework.
Used Postman to test API endpoints and Swagger for API documentation.
Used Concourse CI for CI/CD integration with Bitbucket and Kubernetes.
Monitored app performance using AWS CloudWatch metrics and Grafana dashboard.

Confidential, West Des Moines, IA

Python Developer

Responsibilities:

Responsible for end-to-end software development for the actuarial business reporting.
Gathered requirements from business and created Jira tickets with detailed description, mapping documents, logic and acceptance criteria.
Developed Python codebase and Java REST APIs by adding new functionalities and updating logic.
Developed SQL queries to join multiple databases and retrieve relevant information required for report generation.
Assisted in quarterly bridge steps by deploying code in lower regions for testing before deploying in production.
Scheduled jobs through Control-M and executed them to generate reports. Did diff analysis on reports, fixed the differences and got UAT approvals before deployment deadline.
Delegated work to offshore teams, performed debugging, fixed bugs logged by QA team and conducted code reviews.
Assisted QA teams for creation of various test cases for end-to-end validation of code.
Worked as Production support to resolve incidents, fix job failures and push hot fixes.
Developed Jenkins scripts to automate build and deployment cycles.
Prepared shared dashboards using Tableau as per requirements of business stakeholders.

Confidential, Houston, TX

Python Developer

Responsibilities:

Worked on several projects involving various stages of seismic data processing flow.
Participated in all phases of data mining including data import/export, data cleaning, modeling, signal processing, validation and visualizations.
Extracted sensor data from various data sources intended to be processed/analyzed. Combined data from multiple sensor sources. Ensured that all the data are normalized and improved signal strength.
Performed data cleaning of large amounts of data by identifying data trends and data quality issues to remove various forms of noise, while preserving strong signal to noise ratio.
Handled missing data values using interpolation techniques. Used statistical techniques like autocorrelation, cross-correlation and Fourier transforms.
Performed EDA and Feature Engineering to develop statistical models and improve model performance and flexibility.
Experienced in data mining techniques like classification, clustering, regression techniques, SVM, KNN, PCA and random forests.
Visualized 3D data to identify various geological features and ensured high quality signal and illumination to deep rock layers.
Built image processing models using Computer Vision: Deep Learning and CNN.