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Poonam KumariPK
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Poonam Kumari

@poonamkumari1

Senior Data Engineer specializing in governed ETL/ELT pipelines across GCP and Azure.

India
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What I'm looking for

I’m looking to lead end-to-end ETL/ELT and cloud data platform work on GCP/Azure—delivering governed, high-quality data products with strong CI/CD, testing, and performance focus in Agile teams.

I’m a Senior Data Engineer with 9+ years architecting and optimizing large-scale ETL/ELT pipelines, cloud data platforms, and real-time analytics across GCP and Azure. I focus on building governed data products that teams can trust, using source-to-target validation and lineage-driven quality controls.

In my recent work, I delivered enterprise migrations into BigQuery, including an Order Management System and third-party vendor datasets—processing 30–40GB hourly (~800GB total) with PySpark on Dataproc. I re-engineered core Spark jobs (JSON to Parquet, Kryo serialization, executor tuning), cutting pipeline runtime from 6+ hours to under 2 hours (67%+ reduction).

I also led Azure migrations of 5TB of daily transactional sales data from legacy on-premise Hadoop/Hive, translating complex PySpark logic into modular, testable dbt transformations and orchestrating ELT architectures with Azure Data Factory. I’ve built CDC/upsert ingestion using Apache Hudi merge-on-read, automated CI/CD with Jenkins/GitHub Actions/SonarQube, and enabled low-latency consumption by staging curated datasets for reporting and Elasticsearch.

Experience

Work history, roles, and key accomplishments

IL

Senior GCP Data Engineer

Mar 2023 - May 2026 (3 years 2 months)

Architected and monitored end-to-end ETL pipelines on Google Cloud BigQuery, including an OMS and vendor datasets migration processed with PySpark on Dataproc. Re-engineered Spark jobs and built governed ingestion using Apache Hudi, then enabled low-latency consumption via Elasticsearch with data validation and testing.

IL

Azure Data Engineer

Aug 2020 - Mar 2023 (2 years 7 months)

Led migration of 5TB of daily transactional sales data from on-prem Hadoop/Hive to Microsoft Azure. Built metadata-driven ADF ingestion and dbt transformations from legacy PySpark logic, implemented SQL MERGE restatement for late-arriving data, and migrated high-volume Hive tables into Snowflake.

Education

Degrees, certifications, and relevant coursework

Banasthali University logoBU

Banasthali University

Master of Computer Applications, Computer Applications

2011 - 2014

Completed a Master of Computer Application degree at Banasthali University from 2011 to 2014.

Maharshi Dayanand University logoMU

Maharshi Dayanand University

Bachelor of Computer Applications, Computer Applications

2008 - 2011

Completed a Bachelor of Computer Application degree at Maharshi Dayanand University from 2008 to 2011.

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