Collaborate with stakeholders to validate datasets and perform advanced SQL analysis using Amazon Athena, ensuring data accuracy and actionable insights.

Design and implement end-to-end AWS disaster recovery architectures, including cost analysis and optimization, in consultation with AWS specialists.

Engineer and enhance ETL pipelines processing dozens of terabytes of data using PySpark, AWS Glue, and EMR, improving scalability and performance.

Automate data workflows leveraging AWS services (S3, DynamoDB, RDS, Lambda, CloudWatch, EventBridge), reducing manual intervention and increasing reliability.

Develop Infrastructure-as-Code solutions using Terraform and integrate CI/CD pipelines with GitHub Actions, streamlining deployments and reducing errors.

Build interactive Tableau dashboards for executive reporting, enabling data-driven decision-making across business units.

FavoredProps is a sports-analytics startup based in Atlanta. I have worked directly with the founders to help create and maintain the complete backend of the application.

Created analyst-like model using Python libraries and Azure AI to project player stats for every league that we service.

Made a backend monitoring system that helps us catch any bugs instantly saving us money from using the cloud based service that Azure provides.

Effective technical troubleshooting and support in the IT support call center in conjunction with Jira ticketing system. Worked with live chats, calls and tickets simultaneously.

Diagnosing and resolving audio/visual classroom issues with knowledgeable solutions and installing full campus migration to new digital signage system

Enhanced the Hugo RAS log analysis tool by optimizing and implementing algorithms, boosting reliability and performance.

Built and integrated a comprehensive testing framework in Python, accelerating development and increasing accuracy through automation; extended support to JavaScript components.

Created unit tests using checksums to automate verification of debugging classes for system logs.

Executed manual and automated testing to identify and resolve bugs in the tool and JavaScript components, ensuring precise results.

Built and optimized cloud-ready ETL pipelines using SSIS and SQL to integrate and cleanse large healthcare datasets, implementing data quality validation across distributed systems

Automated quarterly reporting process from 3 days to 1 minute using Python and CI/CD practices, saving 1,000+ person-hours annually while developing real-time Power BI dashboards with statistical monitoring and alerting systems

Collaborated with data scientists and analysts in Agile environment to design scalable data solutions supporting machine learning workflows and advanced analytics initiatives for cross-functional business teams

Exhibited proficiency in database management by overseeing a SQL server using SQLalchemy