Data Engineer

I build data infrastructure, data pipelines, Business Intelligence systems from scratch. That's include desiging, building, and deploying on AWS or GCP.

Favourite tech-stach: SQL, Python, Docker, Airflow, Metabase/Looker

• Airflow
• Amazon Web Services (AWS)
• api and webhook
• Data Modeling
• Datawarehouse / DWH
• Docker
• ETL
• Google Cloud
• Python
• SQL

My data journey started six years ago when I joined the United Nations (UNESCAP) in Kazakhstan for one year as an Economic Affairs and Data Analyst intern. I there performed reporting, visualisation, and secondary statistical analysis in the field of Economics and disruptive businesses. 

I then joined a French NGO in Cambodia where I focused on primary research, working on methodologies to translate qualitative frameworks into statistical ones, and managed a team of local staff to ensure the correct execution of them. 

In the last five years, I’ve helped several organisations in the Berlin startup ecosystem in designing and building fully functional data architecture from scratch. Using state of the art technologies, I had an extensive range of responsibilities including mining data, shaping quarterly OKRs, improving collection techniques, training stakeholders, producing impactful insights, designing and building ETL framework, data pipelines and DWH, then deploying them using DEV.OPS. best practices.

In short, I was accountable for making actionable every data passing through the business, translating ideas into insights stakeholders need. 

If you think that my profile could be a match I’d like to have a chat to get to know each other and understand what is the roadmap you’d like to achieve in the next couple of quarters and if I am the right person to get there.

Best,
G.