Nikhat K. Email & Phone Number

Washington, Dc, Us

Arizona, United States

Roles & Responsibilities:• ETLs were designed to load, validate, and transform data files in formats like JSON and XML for downstream processing. • Python scripts were used to extract insights from textual data, enabling data-driven decisions for portfolio management. • Optimized data models were designed for portfolio data, resulting in improved downstream processing and analysis. • Python classes and objects were implemented to model complex data structures and business logic. • Multithreading was employed in Python scripts to optimize I/O operations and improve performance. • System-level tasks were automated using Python libraries such as os, sys, and shutil. • Python libraries like Pandas and NumPy were used for data manipulation in portfolio management. • Date, time zone, and date-time related data were handled using Python libraries such as datetime and Tzlocal.• Developed Django apps within the project to encapsulate specific functionality, ensuring modularity and maintainability.• Configured URL routing using Django's URL patterns to map views to specific endpoints for portfolio management modules.• Leveraged Django middleware to handle request/response processing, user authentication, and data validation.• Developed RESTful APIs using Django and Django Rest Framework (DRF) to facilitate asset data such as assets.• Jira and SharePoint collaboration tools were used for issue tracking, task assignments, and issue resolution. • CI/CD pipelines were implemented using GitLab, AWS SAM templates and ECR for automated deployments. • Agile development and object-oriented methodologies were utilized to ensure code flexibility and adaptability. • Test-driven development (TDD) practices were implemented in Python to reduce regressions and enhance code robustnessEnvironment: Python, AWS, Git, CI/CD, Jira, Sharepoint, Django, MySQL, XML, JSON, XML, Lambda, RESTful API.

Rochester, Minnesota, United States

Roles & Responsibilities:• Designed, developed, and implemented a data access layer project using Django and AWS Services.• Designed and developed data models to manage patient records, clinical data, and medical research data.• Utilized Django models and migrations for patient records, clinical data & medical research data.• Developed data validation and cleansing procedures to generate insights from clinical data for visualization tools.• Developed secure RESTful APIs using Django REST framework to expose patient data in a reliable manner.• Incorporated Djoser for robust user authentication and registration, ensuring secure access to the API.• Leveraged Pandas and NumPy within Django views to perform data transformations and calculations.• Incorporated Object Oriented Concepts and Test-Driven• Utilized AWS Lambda functions and API Gateway to develop REST APIs for the patient dashboard. • Utilized AWS Lambda layers to share common libraries and dependencies across multiple Lambda functions. • Implemented Web API authentication using Djoser to provide secure access control to the data access layer.• Used Python DB module libraries like Psycopg2 and cx_Oracle to transfer data into diverse data repositories.• Developed SQL queries, stored procedures, functions, packages, tables, and views to retrieve and manipulate data.• Contributed to designing and developing unit testing and integration test cases to ensure system functionality.• Used Python NumPy to perform mathematical operations like calculating mean, median of patient vital signs.• Utilized Python scripts and libraries jsonschema and csvvalidator to validate JSON and CSV files for compliance.• Maintained and developed data pipeline for ingesting data from various sources using S3, AWS RDS and Python.• Implemented CI/CD pipelines using GitLab Pipelines and AWS SAM templates and enabled automated deployments.Environement: Python, AWS, SQL, Lambda, JSON, REST API, Numpy, Django.

Atlanta, Georgia, United States

Roles & Responsibilities:• Utilized Django Model-View-Template architecture to define the data models, views, and templates for the application.• Integrated Django Rest Framework (DRF) into Django to build REST APIs for inventory management interaction.• Leveraged DRF serializers to transform complex data, including Django models, into JSON representations for API endpoints.• Leveraged the features of DRF, including pagination, and filtering functionalities, retrieval of large datasets through APIs.• Used Pandas and NumPy for data manipulation tasks, including handling inventory data, calculations, and forecasting.• Leveraged requests to integrate external APIs, including supply chain management & ERP systems for inventory forecasting.• Utilized libraries like pytz and dateutil, to ensure accurate timestamping during inventory tracking and reporting processes.• Used OS and Subprocess for system-level operations, such as file management and running external commands/scripts.• Implemented error handling, data validation, and security measures using Python libraries like Django REST Framework.• Expertly integrated AWS Lambda functions for real-time inventory processing, encompassing stock updates and forecasting.• Used Django ORM to define and interact with the database schema, simplifying the management of inventory related data.• Created and configured AWS API Gateway to securely expose your RESTful APIs securely to external users and applications.• Leveraged Python CSV and Excel libraries proficiently to facilitate the export and import of inventory data in various formats.• Utilized cx_Oracle and psycopg2 to establish database connections, enabling seamless interaction with Oracle and Postgres.• Utilized Docker to package and deploy the application and its dependencies consistently across various environments.• Leveraged GitLab's CI/CD pipelines to automate building, testing, and deploying Django application to ECR and Lambda.

Noida, Uttar Pradesh, India

Roles & Responsibilities:• Design, develop, test, deploy and maintain the website.• Involved in development and integration with backend Restful services and application UI• Worked towards achieving intuitive user experience as per the provided design and BA documents.• Proactively involved in application development and bug fixing• Working experience on functional requirements and creating low level design documents.• Used AngularJs to simplify the development of rich-client applications and used available libraries. • Architecture design and transforming needs into application.• Part of a development team and team mentoring.• Actively involved in application development & bug fixing.• Interact with client and understand the problem and changed the application.• Application Design, Development, Testing & Deployment.• Specs and integration tests development.• Client correspondence through emails, as well as development calls.• Using Subversion control tools to coordinate team-development.• Designed and developed the UI of the website using HTML, AJAX, CSS and JavaScript• Handled all the client-side validation using JavaScript.• Used JQuery for all client-side Javascript manipulation.• Created unit test/regression test framework for working/new code• Responsible for debugging and troubleshooting the web application.Environment: HTML, CSS, JavaScript, AJAX, AngularJS, JQuery.

Computer Science

Computer Science