Manjunath Reddy Velagacherla

I am a Data Engineer with four years' experience designing and maintaining scalable ETL pipelines and data lakes across AWS, Azure, and GCP to support analytics and ML initiatives. I build reliable ingestion, transformation, and orchestration solutions using Python, Databricks, Spark, Airflow, and cloud-native services.

At Equity Bank I developed and optimized production ETL pipelines using Databricks, AWS Glue, Lambda, and Airflow, designed Delta Lake architectures, and implemented validation and schema-evolution practices to improve performance and data quality. Previously at Scadea Solutions I delivered real-time and spatiotemporal pipelines, implemented Kafka streaming with Spark, deployed ML models, and created Power BI/Tableau dashboards for cross-functional stakeholders.

I focus on practical, production-ready solutions that reduce manual effort and accelerate data freshness, collaborating closely with architects and stakeholders to optimize SQL performance, automate data quality checks, and enable data-driven decision-making across business units.