08/13/2025 updated
NS
100 % available
Analytics Engineer with 7 years of experience in data management and business intelligence
Philadelphia, USA
Philadelphia +null km
Bachelor in EconomicsAmazon S3Data AnalysisBusiness IntelligenceBig DataBusiness DevelopmentBusiness Process ImprovementCloud ComputingData ValidationData ManagementData QualityData VisualizationDatabase DesignEngineering Design ProcessSalesPython (Programming Language)
Python Programming
Advanced Python development skills including NumPy, Pandas, and scikit-learn for data analysis, geospatial applications, and process automation
Data Pipeline Engineering
Design and implementation of data pipelines using AWS S3, Redshift, and Pandas for cleaning, analyzing, and aggregating large datasets
Business Intelligence
Creation of business development dashboards and data visualization solutions using Tableau that increased sales activity and improved decision-making processes
SQL & Database Management
Proficiency in SQL and database design for time-series data, enhancing data accessibility and accuracy
Cloud Technologies
Experience with AWS S3, Redshift, and Google Cloud Platform for data storage, processing, and analysis
Salesforce Administration
Management of Salesforce instances with implementation of process improvements and documentation
Data Validation & Quality Assurance
Development of data validation frameworks that reduced testing time by 32% and ensured data accuracy and reliability
Advanced Python development skills including NumPy, Pandas, and scikit-learn for data analysis, geospatial applications, and process automation
Data Pipeline Engineering
Design and implementation of data pipelines using AWS S3, Redshift, and Pandas for cleaning, analyzing, and aggregating large datasets
Business Intelligence
Creation of business development dashboards and data visualization solutions using Tableau that increased sales activity and improved decision-making processes
SQL & Database Management
Proficiency in SQL and database design for time-series data, enhancing data accessibility and accuracy
Cloud Technologies
Experience with AWS S3, Redshift, and Google Cloud Platform for data storage, processing, and analysis
Salesforce Administration
Management of Salesforce instances with implementation of process improvements and documentation
Data Validation & Quality Assurance
Development of data validation frameworks that reduced testing time by 32% and ensured data accuracy and reliability
Languages
EnglishNative speaker
Project history
Developed a Python application for monitoring illegal waste dumping using geospatial data and open-source APIs. Engineered data pipelines with Pandas for incident data analysis and created a research tool adopted by community groups for neighborhood advocacy.
Built firm-wide business development dashboard increasing sales activity by 19%. Implemented Confluence documentation to reduce requirements gathering time and administered Salesforce with 25+ improvements.
Developed and maintained quality data using AWS S3 and Redshift to ensure successful campaign launches. Created a data validation playbook that reduced testing time by 32%.