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Report abuseI build end-to-end data solutions — from data ingestion, transformation, and integration to analytics and interactive dashboards.
My background combines Data Engineering with strong experience in Data Visualization, allowing me to understand both the technical data pipeline and how information will ultimately be consumed by businesses.
Data Engineering: Python, SQL, PySpark, Informatica PowerCenter, ETL, Data Pipelines
Cloud: AWS, Microsoft Azure, Google Cloud Platform
Data Visualization: Power BI, Looker Studio, Tableau
Databases: Oracle, SQL Server, Neo4j
Automation & Development: Git, GitHub, FastAPI, n8n, REST APIs
Interactive Power BI dashboard for revenue, channel, product, and customer retention analysis.
Looker Studio dashboard for analyzing deliveries, operational costs, and carrier performance.
Python automation for processing, standardizing, and reprocessing CERC return files.
B2C e-commerce demonstration project with GA4, Google Tag Manager, and Looker Studio.
Automated scheduling workflow integrating chatbot, n8n, Google Sheets, and Google Calendar.
Interactive Power BI dashboard for revenue, channel, product, and customer retention analysis using DAX and cohort modeling.
Python ETL automation for validating, standardizing, and reprocessing rejected CERC return files with Pandas.
Python
Interactive Looker Studio dashboard for logistics KPIs, delivery performance, operational costs, and carrier analysis.
End-to-end sales data pipeline built with Pentaho Data Integration, Medallion Architecture, and dimensional modeling.
End-to-end appointment scheduling automation integrating Typebot, n8n, Google Sheets, and Google Calendar.
GA4 e-commerce tracking implementation using Google Tag Manager, dataLayer events, JavaScript, and GitHub Pages.
HTML
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