Leveraging modern data technologies to engineer solutions solving business problems.
I am a results-driven and dedicated team player with proven problem solving and leadership skills. Passionate about data for decision.
I identify myself as an agile problem solver.
Hire Me
With more than 2 years in an early stage startup, I learned how to work hard and lean. I also acquired the skill of jumping head first into a task that’s not included into my job description.
I handled worked on the full data science pipeline which includes data engineering, machine learning and data analysis. I also took part in many business meetings with high profile clients at the different stages of project.
Now, I find myself capable of collaborating and communicating with engineers, researchers and especially business oriented individuals in their own language.
Despite the fact that I have touched on many aspects between technical and business work, my thinking is that of an engineer.
Even before my graduation as a Software Engineer, I always thrived at solving mathematical and algorithmic problems. The level of abstraction I got used to operate in helped me a lot in my professional career.
With time and experience, I learned how to translate business problems into technical ones that I could solve with my team.
To this day, I still enjoy writing and optimizing my code and debugging it.
I perceive understanding and solving business problems as the core purpose of my profession.
In addition to attending business meetings early in my career. I was trusted with the CEO position for more than 6 months. This experience helped me gain huge understanding of business decisions coming from both the company and clients.
The business mindset reshaped my way of conducting data projects so that I can serve the business first.
Writing is my weapon of choice to immortalize knowledge and communicate complex ideas with my team. It has a tremendous impact on the team’s productivity. For example, by writing clear documention, you can easily avoid meaningless meetings and interruptions.
I also try to add value to the people behind me by maintaining my personal blog.
Languages : Python SQL Typescript
Data Storage : Mongodb Neo4j Postgresql Redis S3 object storage
Web : Angular NestJs NodeJs
Big Data : Apache Kafka Apache Spark Apache Airflow
Data Visualization : Gephi PowerBi Tableau Superset
Deployment & Cloud: Docker Digitalocean Heroku Azure Linux
Version Control : Git
Agile Management : Kanban Scrum Notion ( for knowledge & project management )
I am currently available to join ambitious teams solving real world problems as a Data Engineer or Consultant. If you think I might add value to you, please do not hesitate to reach out or even download my resume upon request.