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@pavithrauser1

Data engineer optimizing cloud data pipelines for reliability, performance, and cost efficiency.

United States
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What I'm looking for

I’m looking for a role where I can build and optimize production-grade data pipelines in cloud environments—partnering with research or analytics teams—while driving reliability, performance tuning, and cost-aware scalability.

I’m a cloud and data engineer with 3+ years managing AWS and Azure environments. I build scalable pipelines and tune compute workloads for high-throughput, data-intensive systems—always with cost efficiency and reliability in mind.

In my most recent role at PNC Bank, I led ingestion from 6+ enterprise sources using AWS Glue, S3, and Lambda, reducing pipeline latency by 40% and improving downstream data reliability. I also reduced cloud overhead across 15+ AWS services by analyzing utilization in CloudWatch and Cost Explorer, and standardized infrastructure with Terraform IaC—cutting environment configuration errors by 60%.

I’m equally strong on performance and governance: I tuned PySpark and Spark SQL jobs on AWS EMR (improving CPU utilization by 35% and nearly halving processing time) and enforced least-privilege IAM policies to align with SOC 2 standards. I bring a collaborative mindset through runbooks and training guides for 5+ pipelines, plus a product approach to analytics—integrating BigQuery SQL workflows with Tableau and Power BI for self-service across cross-functional teams.

Experience

Work history, roles, and key accomplishments

PB

Data Engineer

PNC Bank

Oct 2024 - Sep 2025 (11 months)

Led ingestion from 6+ enterprise source systems using AWS Glue, S3, and Lambda, reducing pipeline latency by 40% and improving downstream data reliability. Standardized AWS/Azure infrastructure with Terraform IaC, tuned PySpark/Spark SQL on EMR (35% better CPU utilization; ~50% faster processing), and improved onboarding by 50% through runbooks and training.

GT

Data Analyst

Gloedge Technologies

Apr 2021 - Jul 2023 (2 years 3 months)

Partnered with business stakeholders to gather requirements and deliver analytical data solutions using Python-based cleansing, validation, and transformation. Built ETL pipelines with Azure Data Factory, Databricks, and Informatica, performed SQL performance tuning, and supported dashboards and production data improvements.

Education

Degrees, certifications, and relevant coursework

Georgia Institute of Technology logoGT

Georgia Institute of Technology

Master's in Bioinformatics, Bioinformatics

Master’s program in Bioinformatics at Georgia Institute of Technology.

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