Iliana Toneva, Developer in Los Angeles, United States
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Iliana Toneva

Verified Expert  in Engineering

Back-end Developer

Location
Los Angeles, United States
Toptal Member Since
May 18, 2022

Iliana is a customer-centric senior engineer with a deep interest in database design and data manipulation and experience in working in interdisciplinary teams. She has exceptional communication skills, and she earns the trust and confidence of the business community by taking a deep dive into domain specifics. Skilled in Django, Django REST framework (DRF), FastAPI, Python, and relational databases, Iliana easily pivots to new ideas and is adaptable to other approaches.

DjangoRelational DatabasesPython 3Django REST FrameworkDjango ORMCeleryReactDatabasesPythonDeep LearningCalculusVisual Studio Code (VS Code)C++CAmazon S3 (AWS S3)

Portfolio

Health Care Co
Python 3, Django, Django ORM, Django REST Framework, Celery...
Modern Animal
Python 3, Django, Django ORM, GraphQL, React, PostgreSQL
ConsumerTrack
PHP, React, MySQL, Amazon DynamoDB

Experience

Web Technologies - 17 yearsDatabases - 16 yearsPython - 9 yearsRelational Databases - 8 yearsDjango - 8 yearsDjango REST Framework - 7 yearsDjango ORM - 6 yearsCelery - 5 years

Availability

Part-time

Preferred Environment

Slack, Visual Studio Code (VS Code)

The most amazing...

...projects I've been involved in required a professional focus on data model design and the design of web APIs.

Work Experience

Senior Software Developer

2021 - PRESENT
Health Care Co
  • Worked as a member of the patient care team, influenced technical initiatives across the engineering organization, and helped steer best practices. Always looking beyond the immediate problem to broader implications.
  • Led a project to transform unstructured data into structured data. Designed the new data model and created data migration scripts, unlocking the implementation of a plethora of new features that couldn't be implemented before.
  • Presented technology projects and decisions to senior stakeholders throughout the organization and proposed technical solutions to long-standing engineering issues.
Technologies: Python 3, Django, Django ORM, Django REST Framework, Celery, Amazon Simple Queue Service (SQS), Amazon S3 (AWS S3), FastAPI, PostgreSQL

Senior Software Developer

2021 - 2021
Modern Animal
  • Contributed to the essential features of an in-house process information management system the company was about to launch when I joined the organization.
  • Built CI/CD pipelines for automated deployment as part of my role.
  • Leveraged different search and discovery tools to create a user-friendly search and recommendation service.
Technologies: Python 3, Django, Django ORM, GraphQL, React, PostgreSQL

Software Engineer

2020 - 2021
ConsumerTrack
  • Worked as a member of a Scrum development team, charged with developing the internal tools platform–an application for creating advertising campaigns and keeping track of their performance.
  • Implemented several features on the front end, improving the overall user experience.
  • Oversaw and spearheaded a project for adopting a new React UI component library, MUI, formerly Material-UI.
Technologies: PHP, React, MySQL, Amazon DynamoDB

Web Developer

2015 - 2020
OpenEye Scientific Software
  • Transitioned to AWS Step Functions, a managed service, from using Simple Workflow Service to simplify the coordination of AWS resources and track the workflow state.
  • Contributed to features that include large-scale computations, data visualizations, data analysis, file handling, results sharing, and project organization.
  • Led the redesign of the platform’s SQL database model to improve scalability and performance.
Technologies: Amazon Simple Queue Service (SQS), Amazon CloudWatch, Amazon S3 (AWS S3), Celery, Python 3, Django, Django ORM, Django REST Framework

ETL Process and Data Model for Scientific Data

Created a data transformation process that was much more scalable and higher performing than the previous one, which involved retrieving data from S3 in a binary format and unpacking it in the front-end code.

Worked with scientists to understand many new chemistry concepts related to molecular data and its usage and then defined requirements for data visualization and data analysis.

Finally, built the data model for data ingestion from the original binary file and stored it in a relational database management system (RDBMS) to improve access, using MySQL-based Amazon Aurora. The use of the new data model provided improved scalability and performance.

Languages

Python 3, Python, C++, C, GraphQL, PHP

Frameworks

Django, Django REST Framework

Libraries/APIs

Django ORM, React

Storage

Relational Databases, Databases, Amazon S3 (AWS S3), PostgreSQL, MySQL, Amazon DynamoDB, Amazon Aurora, RDBMS

Tools

Celery, Amazon Simple Queue Service (SQS), Slack, Amazon CloudWatch

Other

FastAPI, Neural Networks, Deep Learning, Data Structures, Programming, Web Technologies, Calculus

Platforms

Visual Studio Code (VS Code)

2005 - 2006

Master's Degree in Information Systems

Sofia University, St. Kliment Ohridski - Sofia, Bulgaria

2000 - 2005

Bachelor's Degree in Computer Science

Technical University of Varna - Varna, Bulgaria

APRIL 2019 - PRESENT

Neural Networks and Deep Learning

DeepLearning.AI | via Coursera

SEPTEMBER 2012 - PRESENT

Introduction to Computer Science and Programming

MITx | via edX

Collaboration That Works

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