Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 7

I tend to be owner of the project regardless of what it takes to deliver. When setting up new data pipeline - it's not just technical steps for me. For me it's talking to all stakeholders to understand requirements, making sure that data is being generated in expected way (especially with manual input and automations), making sure data being collected in the most efficient way from data source, making sure that ELT transforms data per stakeholders needs, making sure visualisation of data clear and user-friendly.

I was mostly working with marketing data, some key results:
- Defined process flow and build data pipeline for automatic channel attribution in Salesforce
- Set up data pipelines for measuring full circle of Inbound Leads processing by Marketing team: incoming, qualified leads, tracking of the time lead was in work and communication activities
- Defined and set up process flow for automatic leads qualification in Salesforce
- Set up process flow and automatic leads attribution by Markets
Hi there! I have 7 years of experience (3 years as BI Analyst + 4 years as Software/Analytics/Data Engineer), currently working as Data Warehouse Engineer in one of the unicorn companies. I love my current job, but have some spare time for interesting projects on a part-time basis. Ideal projects scope right now: help setting up analytics framework from the scratch, consultations, ad-hoc analytics, mentoring analytics team.
Overall I worked with such data stack: AWS (s3, Athena, Glue, Redshift), Snowflake, Python, custom data ingests from various APIs, Airflow, Stitch, _dbt, Matillion, Hightouch.
I can't work full time at the moment.