Description

I am a Software Engineer with over a decade of experience in software development, specializing in backend engineering, cloud computing, and automation. My career has spanned various industries, allowing me to work across the full software development lifecycle, from architecture design to deployment, across different tech stacks and platforms.

Currently, at Cape Analytics, I focus on building scalable, automated systems and enhancing geospatial analytics capabilities. I’ve led key projects and initiatives, such as automating data compute processes and integrating a new geospatial object store system, which expanded product functionality and enhanced data management workflows. Throughout my career, I have worked with Python, Google Cloud Platform (GCP) services, and Airflow to deliver reliable, high-performance software solutions.

Prior to my current role, I made key contributions at Zooplus AG, where I was instrumental in designing event-driven architectures and developing solutions to streamline data migration. I also gained valuable DevOps experience at Firmshift, where I focused on optimizing CI/CD workflows and automating infrastructure deployments.

My work is driven by a passion for building innovative, efficient, and scalable systems. I enjoy tackling complex problems, leveraging cutting-edge technologies, and continuously learning new skills to stay at the forefront of software development.

Languages

English
Fluent
German
Conversational
Russian
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Moody's CAPE Analytics
Senior Software Engineer
December 2021 - Today (4 years and 6 months)
Munich, Germany
As a Senior Software Engineer at Cape Analytics, I design and develop high-impact software solutions focused on automation, scalability, and system optimization. I collaborate with various teams to deliver new services and features that enhance the company’s capabilities in geospatial analytics and large-scale data processing.

Key Responsibilities:
· Architecting, designing, and coding new services and features to support product innovation.
Leading the full automation of the data compute process, significantly improving the efficiency and accuracy of data workflows.
· Managing and optimizing large-scale databases to support growing data needs.
· Working closely with cross-functional teams to deliver robust solutions using modern cloud technologies.

Notable Achievements:
· Automated the data compute system, streamlining workflows and minimizing manual intervention.
· Developed and integrated a new concept of geospatial object store system, which expanded the range of features available in the products.
· Introduced and developed an internal back-office system, improving internal operations and data management processes.
· Successfully optimized the performance and scalability of large databases, ensuring efficient handling of massive datasets.

Skills & Technologies:
· Proficient in Python for backend development and scripting.
· Extensive experience with Google Cloud Platform (GCP) for cloud-based architecture and services.
· Implemented Airflow for orchestration and automation of data pipelines.
· Strong expertise in working with large-scale databases, ensuring efficient data management, performance tuning, and scalability.
Python Google cloud Amazon Web Services PostgreSQL FastAPI
zooplus
Senior Software Engineer
November 2018 - December 2021 (3 years and 1 month)
Munich Metropolitan Area, Germany
Responsibilities:
• Design and create new services and products for internal business stakeholders using event-driven architecture
• Analysing of business processes, building component architecture
• Implementing applications for data migration

Main stack of technologies: Java 8, Java 11, Kotlin, Spring Boot, PostgreSQL, Oracle, AWS Services (RDS, SQS, SNS), Terraform, Javascript
Firmshift
DevOps Engineer
May 2017 - October 2018 (1 year and 5 months)
Saint Petersburg City, SP, Russia
Responsibilities:
• Automating of infrastructure and application deployments
• Optimisation of CI/CD processes
• Building of solutions for logging/monitoring/security
• Developing common approach for infrastructure and application updates/deployments

Main stack of technologies:
• Wide range of AWS services: CloudFormation, CodeBuild, CodePipeline, ECS, EC2, CloudWatch, Lambda, RDS and others
• Scripting languages like Javascript, Python