Revanth S Email & Phone Number

Madison, Wisconsin, United States

As a Senior Data Engineer, I developed scalable data infrastructure using Snowflake and Google Cloud Platform (GCP) to optimize data storage and retrieval for fast decision-making. I designed and deployed reusable Matillion ETL workflows, integrating diverse data sources into Snowflake to enhance analytics and data availability. Migrating legacy systems to Snowflake and BigQuery with Matillion ensured seamless ETL, improving scalability and cost-efficiency. Leveraging Terraform and Google Cloud SDK, I automated resource provisioning, established rigorous data quality checks within Matillion, and maintained data security with RBAC and encryption, enabling real-time insights and reliability across critical operations.

United States

I led the design of a scalable data solution using Snowflake and GCP, optimizing data storage and retrieval to enhance performance and support advanced analytics. I built efficient Matillion ETL pipelines and automated infrastructure provisioning with Terraform, ensuring reliable, high-quality data flows that meet business demands. By migrating legacy systems to Snowflake and BigQuery, and implementing RBAC and encryption, I improved data security and operational efficiency. My performance tuning of Matillion and SQL jobs further streamlined workflows, reducing processing time and enhancing real-time data availability for analytics.

United States

I specialize in AWS cloud infrastructure and big data solutions, with proficiency in AWS CloudFormation and Terraform for agile deployments. My experience includes optimizing data workflows with Sqoop and AWS Data Lakes, leveraging Spark on EMR for scalable data processing and analytics. In DevOps, I develop Docker images for Jenkins, Selenium, JMeter, and the ELK stack, deploying them via Kubernetes for robust testing and monitoring. I configure the ELK stack for log management on AWS EC2 and utilize Ansible for efficient orchestration. Additionally, I develop MapReduce programs on Hortonworks and manage data migration projects from Teradata to Hadoop with FastExport and Apache NiFi, implementing batch processing within Agile frameworks to enhance data loading. These skills enable me to deliver scalable solutions for complex AWS and big data environments, driving transformative outcomes for businesses.

United States

I excel in designing innovative technical solutions tailored to client needs, focusing on cutting-edge cloud-based architectures. Notably, I created a cost-effective archival platform using Hadoop for managing big data, ensuring scalability and efficiency. I specialize in providing technical architecture services, optimizing frameworks to meet specific business requirements, and creating Data Lakes by integrating data from sources like Teradata, Mainframes, and RDBMS into HDFS for comprehensive analysis. My strong background in the data management lifecycle includes mining, collection, cleaning, and visualization, utilizing programming foundations like DAX in Power BI and Python for efficient ETL processes. I am proficient in configuring open-source Apache distributions in Hadoop, handling setups for configurations such as Core-Site, HDFS-Site, and YARN-Site, with extensive experience in distributions like Hortonworks, Cloudera, and MapR. These experiences enable me to deliver robust, scalable solutions in complex data environments, leveraging advanced technologies to drive business success and innovation.

India

I specialize in maximizing Azure Data Lake and Blob Storage within Databricks for in-depth data analysis, effectively extracting and mining data to address critical business challenges. My expertise includes manipulating data for analytical needs while ensuring privacy and security in Power BI environments. I craft complex SQL queries for detailed analysis and visualization, utilizing various data visualization tools to communicate insights to stakeholders. In big data architecture, I have designed and implemented Data Lakes using Hadoop technologies like Sqoop and Hive, consolidating data from diverse sources and creating HBase tables to manage large volumes of structured and unstructured data. Additionally, I optimize code and system interfaces for efficient data migration, and I develop conceptual data models using Erwin, ensuring alignment with business objectives. These experiences enable me to deliver robust data solutions that drive informed decision-making and operational efficiency in complex data environments.