AWS Data Engineer | Databricks Certified
Hi, I’m Parvathy — an AWS Data Engineer with 4 years of experience designing and optimizing scalable data pipelines in cloud-native environments. I specialize in ETL/ELT development using PySpark, pandas, and SQL, with expertise in AWS Glue, Redshift, S3, and Lambda.
Over the years, I’ve contributed to aviation and healthcare projects, reducing ETL processing times by 20% and improving query performance by 25%. My focus is on building efficient, automated workflows that enable faster analytics and reliable business insights.
I hold certifications in Databricks (Certified Data Engineer Associate) and AWS Cloud Practitioner, and I’m currently preparing for Microsoft’s Agentic AI certification. Looking ahead, I’m excited to move to Germany to pursue advanced studies and expand my career in data engineering and AI.
SQL, Python, PySpark
AWS Glue, Redshift, S3, Lambda
PostgreSQL, MySQL
Databricks, GitHub, Terraform
Data Engineer (2022–2025)
Built ETL pipelines with PySpark & AWS Glue, optimized workflows, and supported aviation analytics.
Associate Data Engineer (2025–Present)
Developed scalable healthcare data pipelines, automated ingestion, and improved performance by 75%.
Certified Data Engineer Associate
Certified Cloud Practitioner
Agentic AI Certification (In Progress)
Let’s connect!