Maxim L. Senior Python Engineer for Data Spaces
Summary
Versatile Software Engineer with 9 years of experience, bringing a strong background in computer science, particularly in backend development, data processing, and cloud services. Specialized in Python and proficient with frameworks like FastAPI, Django, and Flask. Has engineered complex ETL pipelines, optimized databases including PostgreSQL and Redis, and implemented cloud solutions using AWS and Azure. Excelled in DevOps practices with tools such as Docker, Kubernetes, and Terraform. Demonstrated capability in building scalable, secure applications and services, evidenced by successful project delivery in domains such as e-commerce, human resources, and cybersecurity. With hands-on experience in Stripe payment systems and expertise in system integration, this candidate is equipped to tackle challenging roles in the tech industry.
Work Experience
Software Engineer, SAP Log Forwarding Automation System
Duration: 02.2022 - PresentSummary: Application for integration between SAP services and SIEM system which allowed to gather all required logs from different SAP services, redact them and send them to SEIM for threat analysis and anomaly detection to prevent cybersecurity-related threats and attacks.
Responsibilities: Designed and implemented ETL pipelines to extract, normalize, filter, and enrich logs from multiple SAP services before passing them into multiple SIEM systems; Created custom orchestration solution for log collection application to allow multi-node setup; Architect application using multithreading and multiprocessing to efficiently handle concurrent tasks; Configured environment-specific secrets in GitLab CI/CD Pipelines to securely handle API keys, database credentials, and other sensitive data; Implemented SSL-encrypted connection for reliable data transfer to SIEM system, focused on error handling, congestion control, and maintaining connection integrity; Created set of CLI and REST API for convenience of application management; Implementing multiprocess-based controller for automated managing of different extraction and upload tasks; Implemented licence signing and verification algorithms to avoid license forging; Configured SQLCipher for secure storage of application configuration and license; Tested and optimized different multiprocessing IPC mechanisms such as Pipes, Queues, shared memory, etc.; Implemented different caching and overall optimization techniques to increase application performance; Writing unit and integration tests.
Technologies: Python, Multiprocessing, Multithreading, Cron, Click, FastAPI, SQLAlchemy, Alembic, Pydantic, Azure (Virtual Machines, Active Directory, Azure Monitor, etc.), SQLCipher, VMWare, GitLab, GitLab CI, Linux, Bash, RedHat Enterprise Linux
Software Engineer, Recruitment Platform
Duration: 11.2018 - 02.2022Summary:
- Product which allows talents to find a job and companies to hire people
- It provides companies an ability to host online and offline events for promotion of their corporate culture
- For company's members, it provides an opportunity to take courses about different topics
Technologies: Python, Flask, FastAPI, SQLAlchemy, Alembic, Pydantic, Redis, MongoDB, AWS (RDS, EKS, EventBridge, DynamoDB, SNS, Lambda, S3, SES, etc.), ElasticSearch, Kafka, PostgreSQL, Celery, Terraform, GitLab, GitLab CI, Helm, Docker, Docker Compose, Nginx, Kubernetes(k8s), Linux
Software Engineer, Music Marketplace
Duration: 10.2015 - 11.2018Summary: Product which connects artists who want to sell demos to produce additional income sources with labels and recording companies who want to find music for promo campaigns, resell those demos, etc.
Responsibilities: Contributed to the design of CI/CD pipelines with Jenkins for seamless deployment, reducing manual intervention and improving deployment speed; Participated in troubleshooting and incident response efforts during production issues, minimizing downtime and implementing measures to prevent future occurrences; Implemented the Stripe integration to the product to handle all payment processing; Configuring AWS S3 buckets Security Groups for fine-grained data access restrictions; Integrated external services with the application, leveraging AWS Cognito and IAM for secure identity verification of applicants; Writing and optimizing complex SQL queries for data analysis and reporting in PostgreSQL database; Developing and implementing systematic troubleshooting procedures, reducing issue resolution time and enhancing overall system reliability; Deployed and managed containerized services using Docker and AWS ECS.
Technologies: Python, Django, Django Rest Framework, Stripe Connect, Stripe Payments, Stripe Billing, AWS (Route 53, VPC, ECS, EC2, RDS, ElastiCache, SNS, Lambda, S3, SES, etc), PostgreSQL, GitHub, Jenkins, Docker, Docker Compose, Linux
Education
- Computer Science and Software Engineering
Certification
- Stripe Certified Professional Implementation Architect
- Stripe Certified Professional Developer