Ragesh R
@rageshr
Data engineering professional focused on production-ready ETL pipelines and analytics platforms.
What I'm looking for
I am a Data Engineering professional with an MCA background who builds production-ready ETL pipelines, analytical data warehouses, and reliable data platforms. I emphasize data quality, reliability, and operational excellence while implementing industry-standard architectures.
My hands-on projects include a high-throughput GitHub Events Data Warehouse (Medallion Architecture, Docker, PostgreSQL) and a SQL Data Warehouse with PL/pgSQL and star schemas; I designed incremental loading, Type 1 SCDs, and strong observability patterns.
I seek roles where I can contribute to pipeline development, data platform infrastructure, and analytics enablement while continuing to grow my AWS and Airflow expertise and drive measurable improvements in data reliability and performance.
Experience
Work history, roles, and key accomplishments
Data Engineering Project
Personal GitHub Project
Dec 2024 - Feb 2025 (2 months)
Architected and deployed a production-ready GitHub events data warehouse (Medallion) processing 100+ events/min with watermark-based incremental ETL that reduced processing time by 99% and achieved 3s Gold runs for 1,000-event batches.
Data Engineering Project
SQL Data Warehouse Project
Nov 2024 - Nov 2024 (0 months)
Designed and implemented a SQL-based data warehouse with Bronze/Silver/Gold layers and Star Schema, building ETL pipelines, data validation checks, and optimized queries for analytical workloads.
Education
Degrees, certifications, and relevant coursework
Mar Thoma Institute of Information Technology, Ayur
Master of Computer Applications, Computer Applications
2023 - 2025
Grade: 73.2%
Master of Computer Applications program with a focus on data engineering concepts and practical ETL/data warehouse projects; final marks 73.2%.
Sree Narayana Guru College of Advanced Studies, Punalur
Bachelor of Commerce, Commerce
2020 - 2023
Grade: 62.4%
Bachelor of Commerce degree with coursework supporting analytical and quantitative foundations; final marks 62.4%.
Availability
Location
Authorized to work in
Job categories
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