Position: Data Engineer (GCP)
Category: Data Engineer
Experience: 3 years | English: fluent

Our team have successfully designed / communicated / executed DWH migration from on-premise servers to GCP technologies for the latest client. Additionally we have implemented Bi system based on BigQuery, Looker, Connected Google Sheets. Everybody within a team contributed equally to the project,  so we share the achievement between us.
I would like to say hello and discuss the scope of work done for the last few years. I spent the last 3 years working for an IT outsourcing company in a Data Engineer capacity. I was assigned to their client - a European online retailer of fashion apparel.

My journey with the client will be over soon. I will start looking for long term opportunities starting September 2022. In the meantime I am up to part-time or project work. If you temporarily short on Data employees I can lend a helping hand on a task or few.

Scope:

1. Supporting Old DWH and BI System
Contributed to supporting technology stack: SQL Server, SSIS, SSAS, SSRS, Excel BI

2. DWH rip and replace migration from on-premise servers to GCP.
Developed data pipelines from on-premises servers to GCP using Apache Kafka / Kafka Connect (Debezium source connector, Pub/Sub sink connector), Pub/Sub, Dataflow (Apache Beam), BigQuery.

Developed data pipelines for external REST APIs using Cloud Functions (Facebook, Microsoft Ads etc.). As well as setup GCP native integrations for Google products (Analytics 360 Export to BigQuery, Google Ads etc.)

Designed and implemented DWH structure for BigQuery:  
datasets / tables, unified table / view schemas, partitioning / clustering options, table / partition expiration policies, group access policies including column-level security, sensitive information masking etc.

Set up data pipeline performance / data consistency monitoring and alerting policies via Google Monitoring

Developed ETL routines in Kafka Connect using SMTs and Dataflow. As well as developed the ELT part using BigQuery Scheduled Queries and Views.

3. Developing New BI System
Developed data sources for Looker, Connected Google Sheets.
Contributed to developing LookML Models, Explores, Dashboards, access policies.

4. Time-series Forecasting
Developed automated routine for creating annual Financial Budgets (from Gross Sales to EBIT) and operational forecasts.
The routine is a Facebook Prophet model retrained regularly using Vertex AI scheduled notebooks.
It forecasts data on a category / department / season code granularity level.

I can tell more and share details on request.
I would like to be on an international team of dedicated professionals. I would prefer to be in e-commerce (fashion / apparel) or energy industries, since I have relevant experience in those areas.
I would avoid stale projects with no perspectives of evolution built some years ago. Nevertheless, I will happily assist you in modernizing your system if you have reached such a decision.

My preferences in terms of technology stack: 
Python
SQL
Kafka / Kafka Connect
Apache Beam (Dataflow runner)
GCP technologies (since I have GCP Professional Data Engineer Certification, but can also look into other options)
Kubeflow Pipelines and TensorFlow Extended (I recently started looking into it)