Yeswanth Surampudi: Transforming Data Engineering with Cutting-Edge Big Data and Cloud Technologies

Yeswanth Surampudi is an accomplished Senior Data Engineer with extensive experience in data engineering, cloud technologies, and big data solutions. With over six years of hands-on experience across various industries, Yeswanth has consistently demonstrated his expertise in building robust, scalable data pipelines, optimizing cloud-based solutions, and delivering business-critical insights using modern data platforms. His proficiency spans a wide range of technologies, including Hadoop, Spark, Apache Airflow, Python, and cloud platforms such as AWS and GCP.

Currently serving as a Senior Data Engineer at Beyond Finance, Yeswanth is responsible for designing and maintaining complex data pipelines, automating recurring data processes, and ensuring the timely availability of business-critical data. His focus on data extraction, transformation, and loading (ETL) processes, combined with his deep understanding of cloud technologies, enables him to manage large-scale data operations efficiently. At Beyond Finance, Yeswanth's work has had a significant impact on optimizing performance, enhancing data security, and ensuring seamless data transfers across the organization.

Before joining Beyond Finance, Yeswanth held key roles at Groupon and State Farm. At Groupon, he managed over 300 data ingestion pipelines and successfully migrated data from on-premise databases to Google Cloud, optimizing the data infrastructure for better scalability and performance. His contributions in setting up and maintaining Airflow DAGs for these migrations were critical to ensuring a smooth transition. At State Farm, Yeswanth played a pivotal role in developing data pipelines for the company’s eDiscovery platform, ensuring the secure and accurate archiving of customer communication data for compliance and legal purposes.

Yeswanth's expertise in Hadoop ecosystems, including Hive, Pig, and Sqoop, combined with his proficiency in cloud platforms like AWS and GCP, has enabled him to tackle complex data challenges in large organizations. His ability to innovate and lead teams through complex technical challenges makes him a valuable asset to any organization looking to leverage data for business growth. His career is marked by a deep commitment to data engineering excellence, consistently delivering impactful solutions that drive operational efficiency and business success.