Prashanth K Email & Phone Number

Experienced Data Engineer with expertise in cloud platforms (AWS, GCP), big data frameworks (Spark, Scala), and ETL pipeline optimization. Proven track record of delivering scalable solutions in banking, telecom, and healthcare industries. Senior Data Engineer with over 9 years of experience specializing in designing, implementing, and optimizing large-scale data platforms. Proficient in leveraging cloud platforms (AWS, GCP, Azure) to build scalable and resilient infrastructures that enable seamless data access and advanced analytics. Demonstrated expertise in ETL pipeline automation, real-time data processing, and data lake architectures to meet the evolving needs of global enterprises.Recognized for driving innovation in data governance and implementing security protocols to ensure compliance with industry regulations across diverse sectors such as telecom, finance, healthcare, and retail. At AT&T, led the deployment of a multi-cloud data ecosystem, enabling real-time insights and improving decision-making capabilities by over 40%. Collaborated with cross-functional teams to ensure seamless integration of advanced analytics and machine learning into operational workflows.Skilled in delivering end-to-end data engineering solutions, including the development of streaming data pipelines using tools like Kafka, Spark, and Hive. Experienced in migrating on-premise systems to cloud environments, achieving 30% cost efficiency and enhancing system reliability. Played a pivotal role in transitioning legacy systems to modern data platforms, reducing processing times by 50% and improving operational efficiency.Adept at working with large datasets and ensuring high data availability through robust data modeling and database management. Successfully optimized data workflows using Python and Scala, reducing operational bottlenecks and delivering faster time-to-insight. Expertise includes integrating machine learning operations (MLOps) with tools like SageMaker and TensorFlow to support real-time decision-making.Committed to fostering a culture of excellence by mentoring junior engineers and sharing best practices in data lifecycle management and DevOps principles. Passionate about staying ahead of industry trends, including serverless architecture, AI-driven analytics, and edge computing. Recognized for delivering scalable, future-ready solutions that empower businesses to unlock the full potential of their data.

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  Jntuh College Of Engineering Hyderabad