Jayaprakash Porandla

I’m a Data Engineer with 3.7 years at Accenture, focused on end-to-end design and delivery of production ETL pipelines on GCP. I build scalable, cloud-native workflows that modernize legacy systems into dependable data operations.

On GCP, I own production pipeline delivery spanning 40+ Airflow DAGs and 100+ Talend pipelines, along with serverless Dataflow architectures across a telecom domain. I specialize in using Cloud Composer (Apache Airflow), Dataflow, and BigQuery to keep pipelines maintainable and performant.

I consistently optimize cost and reliability through dry-run validation, BigQuery query optimization, and pipeline observability. By adding data quality checks and validation rules, I help ensure downstream reporting stays accurate and consistent.

From automation to migration, I’ve deployed and monitored large-scale ETL workloads and improved execution efficiency by moving Talend workloads into scalable GCP pipelines and PL/SQL procedures. I enjoy turning complex data workflows into streamlined systems that teams can operate with confidence.