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Gooshy M

@yatharthm22

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Data Engineer specializing in cloud-native ETL/ELT, performance optimization, and cost reduction.

India

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What I'm looking for

I seek a data/platform role where I can optimize cloud data pipelines, reduce costs, improve governance, and enable analytics in a collaborative, growth-oriented team.

I am a Data Engineer with 2+ years of hands-on experience building and optimizing ETL/ELT pipelines on Databricks and AWS, focused on improving performance, reducing costs, and ensuring data governance. I have delivered measurable results including compute cost reductions, query latency improvements, and storage savings.

At HP I designed solutions that converted archival S3 data to Delta, migrated workloads to Graviton clusters, and implemented PII-compliance libraries processing over 1M records daily. I also improved application and search performance, automated job recovery, and developed APIs and dashboards adopted by multiple downstream teams.

I enjoy solving infrastructure and data-quality challenges with pragmatic engineering—leveraging Python, PySpark, cloud services, and observability to enable faster analytics and reliable business intelligence while maintaining governance and cost efficiency.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

HP Inc.

Jul 2023 - Present (2 years 3 months)

Built and optimized ETL/ELT pipelines on Databricks and AWS, reducing Databricks compute costs by 30% and saving $40K+ annually while converting archival S3 data to Delta to cut query times by 60%.

Python Pyspark SQL Databricks Delta Lake AWS ELT Performance Optimization Data Governance

R&D Intern

HP Inc.

Feb 2023 - Jul 2023 (5 months)

Built a Delta conversion proof-of-concept that improved query latency by 60% and reduced storage by 40%, and migrated a Node.js app from Elastic Beanstalk to Kubernetes to halve deployment time.