About me

I am a Software Engineer with 15+ years of experience working in software development industry, and now being actively involved in building and scaling distributed systems, ensuring efficient data processing and analysis within fintech projects.

With expertise in Python, TypeScript, Go, and JavaScript, I have successfully developed and launched various projects, working on data-intensive applications that require robust and reliable data pipelines. I am well-versed in leveraging frameworks such as FastAPI, Flask, Django, Angular, and NestJS to deliver high-quality software solutions.

My experience in the fintech industry has provided me with a deep understanding of the specific technical challenges and regulatory requirements that accompany working with financial data. I have successfully designed and implemented scalable data solutions, including end-to-end data pipelines, to transform and analyze large volumes of data. Utilizing tools such as Apache Spark, Airflow, and Prefect, I have orchestrated complex data workflows and ensured reliable data processing, transformation, and loading.

As an engineer, my technical expertise extends to infrastructure technologies such as Docker, Kubernetes, GitLab CI, and cloud computing, enabling me to architect and deploy robust and scalable systems. I have worked with both, relational and non relational databases, including PostgreSQL, MongoDB, InfluxDB, Redis, Kafka, optimizing data retrieval and storage for enhanced performance.

I find great satisfaction in fostering growth and knowledge-sharing within the team, and excited to contribute my experience in software developement, leadership abilities, and mentoring skills.