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Slava S
@deagle_dev
Python Backend Developer API Integrations and Automation
Ukraine
Englisch, Spanisch, Russisch, Ukrainisch
Über mich
I develop Python backend features, REST APIs and integrations using Django, FastAPI, PostgreSQL and Celery. My experience spans production support at SoftServe, technical support and Python diagnostics at Amazon, and backend development at Glovo. I help with API integrations, Python automation, SQL investigations and application troubleshooting. You receive an agreed scope, tested code or reproducible findings, and clear handover notes. Send your requirements or an anonymised example of the issue so we can define the next step.
Kompetenzen
Slava S
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
Regelbasierte Chatbots
I will build a python telegram bot to collect leads and notify your team
Benutzerdefinierte Websites
I will build a responsive one page website for your service business
Portfolio
Arbeitserfahrung
Backend Developer
Glovo
Jul 2024 - Sep 2026 • 2 yrs 2 mos
• Implemented Python backend features for order-processing workflows, including REST endpoints, input validation and order-status updates in Django and FastAPI. • Connected backend services to partner APIs, translating external payloads into application records and handling invalid responses and connection failures. • Implemented Celery-based partner synchronisation, moving external API calls into background jobs and taking responsibility for failure handling and integration tests. • Reworked PostgreSQL data access and added Redis caching for frequently requested reference data to avoid redundant database queries. • Wrote Pytest tests for API validation and integration failures, and delivered backend changes through Git, Docker and CI/CD workflows.
Technical Support Engineer
Amazon
Aug 2022 - Jun 2024 • 1 yr 10 mos
• Handled technical support cases involving failed API requests, authentication errors and inconsistent application data, gathering evidence before escalation. • Built a Python diagnostic utility that collected log entries by request ID into a single report, replacing repeated manual searches during support investigations. • Used SQL to check reported data discrepancies against stored records and identify which part of an integration required further investigation. • Prepared developer escalations with request samples, relevant logs, expected behaviour and reproduction steps; checked proposed fixes against the reported problem. • Investigated release-related failures by comparing Linux configuration, Docker logs and recent Git changes, then documented the findings and recovery steps in Confluence.
Production Support Engineer
SoftServe
Jul 2020 - Aug 2022 • 2 yrs 1 mo
• Triaged application incidents for client systems, using logs and SQL checks to distinguish reproducible defects from data or configuration issues. • Reproduced an application defect by comparing REST responses with database records, provided developers with a reproducible test case, and verified the corrected behaviour before closing the incident. • Prepared Jira defect reports with request payloads and diagnostic evidence, helping Engineering and QA investigate reported problems. • Checked key application functions after releases and maintained troubleshooting notes for support handovers.
