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Developed end-to-end critical reporting solution, avoiding a potential €20M penalty for the company by delivering pipelines, DWH and OLAP cubes. Designed and implemented regulatory reporting system, reducing data latency by 34% leveraging Azure services. Built data marts for business-critical reports, improving daily data availability by 4 hours. Created a customer feedback sentiment analysis solution using Microsoft Azure Open AI, eliminating the need for a third-party tool and saving €60K annually.
Data cleansing and manipulation for data dashboards from database. Design and Building Dashboards according to end user requirements. Built data ETL pipeline to fill out new data mart from CRM, cloud S3 storage. Built a new data model from existing ones to optimize DWH load and queries. Created a data warehouse for multiple types of data sources. Stack used: Python, Apache Airflow, Metabase (BI), SQL (Postgres, Vertica), NoSQL (MongoDB).
DWH modelling for Corporate project performance dashboard. Design and creating dashboards as per end-user requirements utilizing Power BI. Analysing and generating new business insights from corporate operational and sales data (CRM, ERP, File storage). Creating ad-hoc solutions for ETL pipeline utilizing Python. Stack used: Python, Pandas, SQL Server, Apache Airflow.
Online bootcamp in the Data Engineering Field.
MS Mechanical Engineer.