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Prerna GuptaPG
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Prerna Gupta

@prernagupta

Data engineer specializing in production ETL pipelines, reliability, and data quality.

India
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What I'm looking for

I seek a hands-on data engineering role focused on reliable, automated ETL/ELT at scale, strong data-quality practices, and opportunities to improve operational reliability and reduce MTTR.

I am a Data Engineer with 2.5+ years of hands-on experience building and operating production ETL/ELT pipelines on AWS using Python, PySpark, and Apache Airflow. I focus on improving pipeline reliability, automating data-quality checks, and delivering SLA-compliant workflows across large-scale orchestration environments.

At IBM I operated 30+ production ETL pipelines handling 50+ GB daily, maintained 99%+ SLA compliance, reduced MTTR by ~40%, and cut recurring pipeline failures by 30% through systematic root-cause analysis and targeted fixes. I implemented SQL validation checks, schema-drift automation, and Delta Lake upserts to enable idempotent runs and reduce manual effort.

I bring a practical mix of cloud, orchestration, and data-quality tooling expertise—AWS (S3, Athena, Glue, Redshift), Airflow DAG design, dbt testing, Great Expectations concepts, and robust scripting in Python, SQL, and Bash—to reliably deliver timely, cost-efficient data for downstream consumers.

Experience

Work history, roles, and key accomplishments

IBM logoIB
Current

Associate System Engineer

Sep 2023 - Present (2 years 9 months)

Designed and built 30+ production ETL pipelines processing 10M+ records/day, improved execution efficiency and reduced operational overhead by 40%, and increased pipeline reliability to 99%+ through orchestration and validation frameworks.

Education

Degrees, certifications, and relevant coursework

Birla Institute of Technology, Mesra logoBM

Birla Institute of Technology, Mesra

Bachelor of Technology, Electronics & Communication Engineering

2019 - 2023

Grade: 8.54 / 10

Completed a B.Tech in Electronics & Communication Engineering with a minor in Computer Science and a CGPA of 8.54/10 between June 2019 and May 2023.

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