Ralph FF
@ralphff
Data engineering intern building scalable Python, Spark, Airflow pipelines.
What I'm looking for
I am a data engineering intern focused on building reliable, low-latency pipelines using Python, PySpark, Airflow, Kafka and BigQuery. I design ETL workflows, data models, and automation that improve processing performance and enable analytics, demonstrated by projects that reduced processing time and achieved sub-3s streaming latency.
I pursue practical, cloud-native solutions on GCP and complementary tools like DuckDB and Docker, and I actively apply monitoring, retries and data quality checks. I seek opportunities to contribute to production-grade pipelines and learn from senior engineers while continuing formal IT studies.
Experience
Work history, roles, and key accomplishments
Data Engineering Intern
Portfolio Projects
Built end-to-end data pipelines using Kafka, PySpark, Airflow, and BigQuery; designed star-schema warehouses and lakehouse architectures, reducing processing latency to under 3s and improving batch processing from 6 to 1.2 minutes.
Education
Degrees, certifications, and relevant coursework
Ismt College, Janakinagar
Bachelor of Science, Information Technology
2024 -
Pursuing a Bachelor of Science in Information Technology with coursework and projects focused on data engineering tools and cloud platforms.
Kalika Manavgyan Secondary School
Higher Secondary Certificate (+2), Science
Completed Higher Secondary (+2) in Science focusing on foundational mathematics and science subjects.
Availability
Location
Authorized to work in
Job categories
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