

I’m a data-driven professional with hands-on experience in building scalable ETL/ELT pipelines, data quality frameworks, and cloud data solutions. I specialize in Python, SQL, AWS, and Airflow, with a strong understanding of data modeling, metadata management, and pipeline orchestration. I’ve worked on optimizing Redshift performance, automating data validation, and integrating BI tools like Tableau. With a passion for clean, reliable data and cross-functional collaboration, I bring both technical expertise and a problem-solving mindset to every project.
D.C United
January 2025 - May 2025
Built data pipelines using Mage to ingest and process STATSports API soccer performance metrics. • Engineered an event-driven pipeline trigger that trigger a Mage pipeline using asynchronous API calls,
Aspire
August 2023 - May 2025
• Boosted data pipeline performance by 52% by migrating from Redshift Provisioned to Redshift Serverless and optimizing ETL workflows using AWS Glue and Athena. • Designed and implemented a comprehensive data quality framework by developing custom scheduling for dbt tests, enhancing transaction monitoring and reducing client complaints by 18%. • Optimized Redshift query performance through detailed analysis of query execution plans and configured distribution keys, sort keys, workload management (WLM) enhancing query efficiency by 28%
Aspire
January 2023 - August 2023
• Engineered and deployed comprehensive data validation pipelines using Python open-source libraries, achieving over 99.99% data accuracy across all data sources • Developed and scaled ETL pipelines in Airflow to process and integrate large, complex datasets in 5+ formats, leveraging S3, Lambda, Python, and SQL for efficient data ingestion • Deployed and configured OpenMetadata, a Docker-based data catalog solution, to streamline metadata management, improve data governance, facilitate data discovery, and enhance incident management workflows across the organization.
University of Central Missouri, Present
Computer Science
Vellore Institute of Technology, Present
Information Technology
AWS
Issued: 1/1/1970
Issued: 1/1/1970
Verified Data Engineer
3-5 years of experience
Preferred commitment: Full Time
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