SUMMARY

• Around 5 years of experience in Software Developer experienced in backend developing with Python, Django.
• Dedicated professional driven to enhance team efficiency.
• Performing low to high complexity source code development.
• Extensive experience in working with C.
• Experienced in using AWS technologies like S3, translate, lambda with python and java.
• Creating REST APIs using django.
• Good experience in Shell Scripting, SQL Server, UNIX and Linux, OpenStack, and Expertise python scripting with focus on Devops tools, CI/CD and AWS Cloud Architecture.
• Used source version control systems like GIT, BITBUCKET.
• Excellent communication skills and better understanding of business requirements and software development cycle in python.
• Worked on development of SQL and stored procedures on MYSQL.
• Expertise in coding optimized SQL queries on databases like MySQL.
• Worked closely with the Project Manager, Data Architect and Participated in application workflow - business decisions and provided the solutions.
• Creating secure REST API’s using hashing algorithms.
• Versatile team player with excellent analytical, presentation and interpersonal skills.

TECHNICAL SKILLS

LANGUAGE STACK, CORE SKILLS: Python, C++, Linux, Algorithms & Data structures, MySQL, PostgreSQL, Django, Django Rest Framework

Infrastructure STACK: Docker, GitLab, GitLab CI/CD, Terraform

Cloud STACK: AWS - S3, MWAA, Lambda, Fargate, EC2

DATASCIENCE, MACHINE LEARNING STACK: PANDAS, NUMPY,PySpark,Apache Spark Neural Networks, Deep Learning, Natural language Processing, Keras, Tensor Flow, Supervised, Unsupervised algorithms, Data visualization, Bokeh, Seaborn, matplotlib

Deep Learning Stack: Feed Forward Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Generative Adversarial Networks (GAN), Cycle GAN.

Deep Learning Frameworks: Keras, TensorFlow, PyTorch, FastAI.

PROFESSIONAL EXPERIENCE

Confidential

Python Developer

Responsibilities:

• In-depth knowledge of Python Programming and Django Rest Framework.
• Proficient in Object-oriented programming (OOPs) concepts. Ability to quickly learn and apply any modern technologies.
• Participated in all the stages of the software development lifecycle including design, development, implementation, testing, and deployment.
• Skilled in using collections in Python for manipulating & looping through different user defined objects.
• Involved in developing the REST Web services with Python.
• Created Restful APIs to integrate and enhance functionalities of the application. Also Utilized Restful API in communicating with third parties.
• Readying the solid DB schema and ER diagrams.
• Extensive code reviewing using GitHub pull requests, improved code quality, and conducted meetings among peers.
• Train staff on administration activities and provide knowledge transfer.
• Developed entire frontend and backend modules using Python on Django Web Framework.
• Implemented company policies, technical procedures and standards for preserving the integrity and security of data, reports and access.
• Followed Agile Methodology and SCRUM Process.
• Tested and released a few features as a QA engineer.
• Worked on a selenium automation project for the quality assurance team using selenium, TestNG and cucumber with Java.
• Implemented backend code with python and Django rest framework to identify and fix bugs.
• Implemented python code to integrate CRMs and other features to enhance the Confidential ecosystem platform.

Environment: Python, Django, Agile, HTML5, JavaScript, Java, Maven, Cucumber, Selenium, Pytest, GitHub, Shell Scripts, Restful API, MySQL, Linux.

Confidential

Python Developer

Responsibilities:

• Used GIT control tool to coordinate team-development.
• Developed in Windows and going to deploy it in Linux server.
• Responsible for debugging and troubleshooting the web application.
• Used Python to place data into JSON files for testing Django Websites.
• Worked on Python Open stack API’s used Python scripts to update content in the database and manipulate files.
• Used a Python module named Pandas for data manipulation.
• Used Python scripts to update the content in the database and manipulate files.
• Used AWS for application deployment and configuration.
• Designed and implemented test procedures for failover/ recovery scenarios.
• Understand the Healthcare insurance data and implement a python driven algorithm to streamline the data to make it user friendly.
• Leveraging advanced machine learning technologies to perform text mining and translate various data sources to customizable user- friendly interfaces.
• Analyzed various data sources to integrate, streamline and generate a common platform through implementing many translations APIs
• Implemented AWS technologies like lambda, S3, AWS machine learning technologies with Python SDK and Java using Maven, Spring Boot.

Environment: Java, Python, AWS, Translate, Lambda, S3, Maven, Spring Boot, HTML5, JavaScript, Bootstrap, GitHub, Shell Scripts, Windows.

Confidential - Dania Beach, FL

Python Engineer

Responsibilities:

• Developed Rest API using Flask and deployed them to AWS lambda as serverless REST API for internal day-to-day activities
• Created Ec2 cluster to deploy and use Apache Airflow for Data Engineering Tasks
• Designed and Developed Event based lambda API which will trigger email alerts in case of a DAG failure
• Wrote Unit tests and Integration tests by leveraging Pytest, tox frameworks for Airflow Dags and serverless APIs
• Implemented Python Package Management by using Poetry in all the projects

Environment: Python 3.x, Aws - S3, Lambda, Fargate, Ec2, ECR, Docker

Confidential

Jr. Python Data Engineer

Responsibilities:

• Build Data Pipelines to import data from various relational databases and streamlined data ingestion with pandas.
• Did Map-Reduce using Pyspark to process huge Blob data sets according to BRD (Business Requirement Doc).
• Wrote python scripts to data cleaning and data munging over the massive datasets.
• Applied CNN and ML algorithms over the massive datasets in order to derive insights.
• Did automation testing by leveraging pytest framework and wrote unit test cases

Environment: Python 3.x, Pandas, Numpy, Apache Spark, Sql Server