Hi 👋, I'm Divya Keerthi

AWS Data Engineer | PySpark | SQL

🚀 Building scalable ETL pipelines | ☁️ Cloud Enthusiast | 📊 Data Lover

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👩‍💻 About Me

• 💼 Data Engineer with 4+ years of experience
• ☁️ Skilled in AWS, PySpark, SQL
• 🔄 Experienced in ETL pipelines
• 🌱 Currently learning Airflow & Kafka
• 🎯 Goal: To work in product-based companies

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👩‍💻 Self Introduction

Hi, I’m Divyakeerthi Patnala from Vijayawada, Andhra Pradesh. I have around 4 years of experience working at Accenture, primarily in data engineering and ETL operations.

In my current role, I work on AWS-based data pipelines using services like Amazon S3, AWS Glue, Amazon EMR, and Amazon Athena. I’m involved in data ingestion, preprocessing, validation, and large-scale transformations using PySpark.

I handle both full load and incremental load processes, monitor production data pipelines, and perform reconciliation between systems to ensure data consistency. I also focus on handling data failures, performing root cause analysis, and improving pipeline performance.

Over time, I’ve developed a strong understanding of ETL workflows, and recently I’ve been focusing more on hands-on development in PySpark and optimization techniques.

I’m now looking for an opportunity where I can contribute more as a Data Engineer by building scalable and efficient data pipelines.

🛠️ Tech Stack

• Python
• PySpark
• SQL
• AWS

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📂 Projects

🚧 Coming Soon (Building real-world data engineering projects)

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📫 Connect with Me

• 💼 LinkedIn: https://www.linkedin.com/in/divyakeerthipatnala
• 📧 Email: divyakeerthi403@gmail.com

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⭐ Turning data into insights and scalable solutions