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prasanth nakka

@prasanthnakka

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Data engineer specializing in cloud-native ETL, streaming, and DevOps automation.

India

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What I'm looking for

I seek roles where I can build scalable, automated data platforms using cloud-native tools, collaborate with analytics/ML teams, and drive data quality and observability in a growth-focused engineering culture.

I am a Data Engineer with five years of experience building and automating data pipelines, cloud infrastructure, and analytics systems across AWS, Azure, and GCP. I focus on scalable ETL workflows, real-time streaming, and data lake/warehouse architectures.

I design reusable Python ETL frameworks using Pandas and PySpark, and I have accelerated data processing and validation across teams by 45%. I architect data lakehouse solutions, implement partitioning and compression strategies, and optimize BigQuery and Redshift for analytics performance and cost.

On the DevOps side, I automate cloud provisioning and CI/CD with Terraform, Ansible, Docker, Kubernetes, Jenkins, and GitHub Actions, reducing setup time by 60% and enabling reliable deployments. I build monitoring and observability with Prometheus, Grafana, CloudWatch, and implement data validation with Great Expectations.

I collaborate closely with analytics and ML teams to deliver curated feature datasets and ML-integrated ETL, supporting model training and productionization. I prioritize data quality, automation, and cross-team enablement to deliver resilient, insight-driven platforms.

Experience

Work history, roles, and key accomplishments

Data Engineer (DevOps)

Webaffinity Technologies Pvt Ltd

May 2020 - Feb 2025 (4 years 9 months)

Architected and automated scalable data ingestion and ETL platforms across AWS/GCP/Azure, processing 1TB+ daily and improving pipeline throughput and developer productivity by up to 50%. Automated cloud provisioning and CI/CD, reducing environment setup time by 60% and enabling reliable, production-grade data operations.