albertmanski

Analyzed, implemented and monitored decision making strategy to allow safe transaction approval (Corezoid + AWS + GCS). Created stable ETL jobs to model, save and analyse aggregated data (dbt + git + AWS). Automated dashboards to present current performance to clients (dbt + Looker).

Created stable ETL jobs to model data, generating one source of truth for the whole company (Databricks + PySpark/Python + AWS). Provided training sessions and assistance to R&D junior analysts on data modeling, extraction and visualization. Worked closely with product and business teams to translate requirements into simple data solutions (Databricks + PySpark/Python + Tableau).

Built and maintained complex and cost effective ETL pipelines using PySpark and SQL (Databricks + PySpark/Python + AWS + GCS). Converted business requirements into solutions or ad-hoc analysis for correct product development (Databricks + PySpark/Python + Tableau). Improved and maintained AWS-based data infrastructure to support scalability.

Built and maintained complex and cost effective ETL pipelines using PySpark and SQL (Databricks + PySpark/Python + AWS + GCS). Converted business requirements into solutions or ad-hoc analysis for correct product development (Databricks + PySpark/Python + Tableau). Improved and maintained AWS-based data infrastructure to support scalability.

Built and maintained complex ETL pipelines using SQL (BigQuery). Modeled and implemented visualization interfaces, providing easy research and metrics monitoring (git / Looker). Collaborated with the engineering team to review and refine technical designs for database tables (dbt / GCS / BigQuery / git).

Built and optimized the internal data infrastructure (SQL / SAS). Created and maintained complex ETL pipelines (SQL / SAS). Developed and monitored credit score models leveraging complex statistical code (SQL / SAS). Built SAS / SQL material and gave classes to new interns and analysts (data mining focused). Automated credit results monitoring for the entire department.