Senior Python Backend/AI Engineer | 7+ Years | AWS, PostgreSQL, FastAPI, Kubernetes | Remote | B2B

I work on a telecom regulatory reporting platform serving approximately 12,000 registered users during peak reporting periods.

- I designed a hybrid backend architecture using Django core services and FastAPI microservices, built high-performance APIs, real-time analytics capabilities, configurable workflows, and a dynamic form builder with complex validation rules.

- I developed event-driven notification and data pipelines with Kafka and WebSockets, as well as Airflow ETL workflows integrating REST, SOAP, and SFTP data sources.

- I implemented a hybrid RAG AI data-mapping assistant using autonomous MCP agents, automating more than 85% of raw data schema verification, reducing document processing time by 40%, and lowering LLM API costs by 32%.

- I designed Kafka-to-OpenSearch streaming analytics for near-real-time search over multi-million-record datasets.

- I optimized PostgreSQL and ClickHouse installations exceeding 250 GB and 750 tables, reducing heavy query latency from more than 10 seconds to sub-second responses through indexing and schema migrations.

- I also supported 99.99% uptime for over 1,500 concurrent users using Kubernetes, Prometheus, and Grafana.

I engineered and maintained corporate analytics and regulatory reporting services for pharmaceutical manufacturing, R&D, pharmacovigilance, laboratory, clinical, commercial, and operational workflows.

- I developed backend services that enabled reporting and analytics across multiple pharmaceutical business domains.

- I implemented RabbitMQ-based asynchronous communication between internal microservices, LIMS/ERP systems, and external platforms.

- I also created and maintained Airflow ETL pipelines that aggregated data from internal systems and external APIs, including financial, medical, regulatory, and pharmaceutical registry integrations.

- I led migration of legacy Celery background jobs to Airflow, improving batch-processing reliability, scheduling transparency, and operational monitoring.

- I optimized analytical SQL queries and database-side logic, improved large-scale report generation and pharmaceutical metric calculations, and maintained GitLab CI/CD pipelines for stable automated testing and deployments.

I developed a GetCourse alternative platform for managing lesson content, courses, homework assignments, and mobile application APIs for iOS and Android. I built RESTful APIs with Django REST Framework and PostgreSQL.

I implemented JWT authentication for mobile clients, Redis caching for API endpoints, and GraphQL endpoints. I refactored the test generator with additional question types and Amazon S3-based media storage, and integrated push notification delivery through Firebase.

I wrote unit tests using pytest-html and freezegun, worked with Docker and Docker Compose, and introduced Black and mypy to improve code consistency, typing, and code quality.