Professional Skills
Top Skills
Data Engineering
Expert, 10+ years
Data is the DNA of the 21st century, and the amount of it
dictates it should be effectively stored, processed, and
served. I like my data in order, so I lean on relational
stores to keep complex models lean and organised – PostgreSQL,
Oracle/Exadata, MSSQL – complemented by Snowflake for
warehousing and DynamoDB where NoSQL fits better. On top of
that I build fault-tolerant ETL/ELT and Kafka streaming
pipelines that move data reliably from raw ingestion all the
way to the API or dashboard.
Cloud & Backend Integration
Expert, 10+ years
Software systems are evolving – design is becoming more
distributed, running in clouds that offer hundreds of possible
solutions to almost every problem. This is why it's so
important to have a holistic view and define how systems
communicate. I architect lean, cloud-native solutions on AWS
(Serverless, Compute, Storage) using Terraform and Helm,
designing robust REST/SOAP APIs, event-driven Kafka
architectures and CI/CD pipelines with GitHub Actions and
Jenkins.
AI Engineering
Proficient, 2+ years
Modern data products increasingly rely on LLMs to bridge
unstructured inputs and structured outcomes. I design
production-ready AI pipelines combining multi-model LLM
orchestration, prompt engineering and structured output with
retrieval techniques – embeddings and vector stores – for
fast, cost-effective matching. My current independent
projects (theresumeparser.com, resumer.io) put this into
practice using Python (FastAPI, LangGraph, Pydantic) and AWS
S3 Vectors to deliver hybrid AI solutions at scale.
Other Skills
Data & Integration: Relational (PostgreSQL,
Oracle/Exadata, MSSQL), NoSQL (DynamoDB), Warehouse (Snowflake);
ETL/ELT, Kafka streaming; SQL/PLSQL; REST/SOAP
AI Engineering: LLM apps (orchestration, prompt design,
structured output), retrieval (embeddings, vector stores)
Cloud & DevOps: AWS (Serverless, Compute/Storage, IaC),
Docker, Kubernetes, Terraform, Helm, GitHub Actions, Jenkins
Languages: Python (FastAPI, LangGraph, Pydantic), TypeScript
/ JavaScript / NodeJS, Java / Kotlin (Spring Boot), NextJS / React
Engineering Practices: TDD, Clean Code, SOLID, Microservices,
Spec-driven development
Leadership & Management: Team mentoring and coaching,
stakeholder management, cross-functional collaboration, strategic
planning, hiring / onboarding / performance evaluation.
