Junior Python Developer - Remote Work
Experiencia demostrada en Python.
Experiencia demostrada en Django.
Experiencia demostrada en FastAPI.
Experiencia demostrada en Flask.
Experiencia demostrada en OOP.
Junior Python Developer - Remote Work buscando nuevas oportunidades
Built backend applications and data services using Python, Django, FastAPI, PostgreSQL, MySQL, REST APIs, and object-oriented programming practices.. Developed data integration services that ingest, validate, normalize, transform, and deliver information between external systems and application databases.. Created automation workflows with Python, Airflow, Spark, and PySpark for scheduled processing, pipeline orchestration, retries, monitoring, and failure recovery.. Designed REST APIs with request validation, authentication, structured error handling, database transactions, and reliable third-party integrations.. Optimized SQL queries, indexes, caching, and data-access patterns to improve performance across applications processing growing datasets.. Built automated unit, integration, and API tests around Python services, database operations, validation rules, integrations, and failure scenarios.. Used Docker, AWS, GitHub Actions, and CI/CD workflows to automate testing, application delivery, and repeatable production deployments.. Investigated production failures across Python services, data pipelines, APIs, SQL queries, databases, containers, and external integrations.. Worked directly with clients to understand application and data requirements, plan technical solutions, and independently deliver production functionality.
Built backend services using Python, FastAPI, PostgreSQL, REST/GraphQL APIs, AWS, and Docker for secure healthcare application workflows.. Developed API and data integration functionality with validation, authentication, relational database operations, and structured error handling.. Applied object-oriented and modular development practices to keep Python application logic maintainable, testable, and easier to extend.. Optimized API, caching, and database access patterns, reducing response times by approximately 25% across targeted data-intensive functionality.. Expanded automated testing around critical functionality to approximately 85%, improving confidence across backend and integration releases.. Improved diagnostic workflows, reducing investigation time by roughly 20% across targeted recurring application, database, and integration failures.. Investigated production problems across Python services, APIs, SQL queries, application logs, containers, and external integrations.. Supported code reviews, CI/CD, release validation, documentation, and production support across a distributed remote engineering team.
Built data-intensive services using Python, Node.js, PostgreSQL, MongoDB, Redis, REST APIs, and cloud infrastructure.. Developed data ingestion and transformation workflows supporting applications backed by millions of product and supply-chain records.. Implemented validation, normalization, database persistence, API integrations, and error handling for high-volume data-processing workflows.. Worked with relational and document-oriented data structures while improving queries, indexes, caching, and application data-access patterns.. Reduced selected high-volume processing workflows from minutes to seconds through SQL optimization, batching, caching, and processing improvements.. Reduced repeated database workload by approximately 30% through query optimization, indexing, caching, and more efficient data access.. Owned assigned functionality through implementation, automated testing, code review, CI/CD, deployment, monitoring, and production debugging.
Built backend and data-processing functionality using Python, Java, Node.js, SQL Server, Oracle, PostgreSQL, MongoDB, Redis, Kafka, and REST APIs.. Developed services for processing and integrating financial application data with validation, transaction handling, structured errors, and reliable persistence.. Worked extensively with relational databases, complex SQL queries, stored procedures, indexes, execution plans, and high-volume application data.. Supported asynchronous and event-driven processing using Kafka while maintaining reliable data flow between application services and databases.. Reduced p95 query latency by approximately 50% across targeted financial workflows through execution-plan analysis, indexing, caching, and SQL optimization.. Reduced database pressure by approximately 25% through Redis caching, improved indexes, query tuning, and more efficient application data-access patterns.. Investigated production issues across Python and Java services, APIs, relational databases, messaging, integrations, and infrastructure using root-cause analysis.. Participated in automated testing, code reviews, CI/CD, technical documentation, production support, and continuous improvement of backend systems.
Developed web applications and backend functionality using Python, JavaScript, Java, REST APIs, PostgreSQL, MySQL, Git, and Linux environments.. Built REST endpoints involving request validation, business logic, relational database operations, authentication, and external service integrations.. Worked with relational data models and SQL queries for creating, retrieving, updating, validating, and reporting application data.. Applied object-oriented programming principles while developing maintainable application logic and reusable backend functionality.. Created unit and integration tests covering application logic, APIs, database operations, integrations, validation rules, and regression scenarios.. Debugged application issues by tracing behavior across backend services, APIs, SQL queries, databases, logs, and external dependencies.. Collaborated through Git workflows, peer reviews, testing, documentation, and iterative development while building strong backend fundamentals.