Saptarshi Acharyya 18

I am a results-oriented Data Engineer with nearly four years of experience designing and implementing scalable, high-performance data pipelines and real-time streaming systems on Azure and Spark technologies.

At Infosys, I architected and executed data transformation pipelines using Scala and PySpark within Azure Data Factory and Databricks, modernized legacy batch jobs to reduce runtimes by over 90%, and decoupled transactional and analytical processes to improve data accessibility.

I leverage AI-driven tools to automate schema generation, anomaly detection, and test planning, and I built monitoring and governance frameworks using PowerBI and cloud-native tools to ensure data integrity, SLA adherence, and proactive issue resolution.

I mentor junior engineers, lead cross-functional collaboration, and continuously optimize performance and resource allocation on platforms like Azure Synapse, Databricks, Kafka, and Spark to deliver reliable, compliant data solutions for product-based organizations.