Sai Chand Devarapalli Email & Phone Number

Toronto, Ontario, Canada

• • Developed and implemented end-to-end data pipelines, enabling seamless data flow from various sources to storage and analytical systems, resulting in improvement in data availability and increase in data accuracy• Developed and managed ETL workflows using tools like AWS Glue, Apache Spark, and Apache Airflow, reducing data processing time • Designed and built data storage solutions like data lakes, data warehouses, and data marts on AWS• Designed and built real-time data streaming solutions using technologies like Kinesis and Lambda, leading to reduction in time-to-insight• Worked in data governance and data quality frameworks and implemented them in AWS environments.• Implemented error handling and retry mechanisms within Amazon Step Functions to ensure robust workflow execution, and reduce workflow failures • Created and maintained scalable and fault-tolerant data architectures in AWS using services such as S3, Redshift, and RDS.• Developed and deployed data models and schema designs for various applications and services, ensuring data accuracy and consistency.• Optimized Amazon DynamoDB tables by carefully utilizing on-demand capacity mode, and implementing data retention policies which resulted in reduction in operational costs, while maintaining optimal performance and data durability• Developed and executed data migration strategies from on-premises systems to AWS cloud-based systems, resulting in improved data accessibility and reduced infrastructure costs.• Utilized AWS Machine Learning services such as Sage Maker and Recognition to develop predictive models and image recognition solutions..

India

• Developed and maintained data pipelines and ETL processes using tools such as Apache Spark, ensuring data accuracy and consistency across various systems.• Collaborated with cross-functional teams to identify key performance indicators (KPIs) and develop data-driven strategies to improve business operations.• Developed and maintained complex ETL pipelines on AWS using services such as AWS Glue, achieving efficient data processing, transformation, and loading from diverse sources into data lakes • Led a successful data migration project, transferring 5 years of historical customer data from an outdated legacy system to a modern CRM platform. The project resulted in zero data loss, minimal downtime, and improved data accessibility for the sales team• Developed and maintained a customer segmentation model using clustering Techniques, resulting in more targeted marketing campaigns and increased customer retention• conduct thorough code reviews, focusing on ensuring code quality, adherence to standards, reusability, and ease of maintenance. Skillfully facilitate Operational Readiness Reviews, supporting gating processes and review signoffs to validate solution designs• Analyzed and interpreted large datasets from multiple sources to provide insights into customer behavior and preferences, resulting in increase in sales revenue• Designed and executed ETL pipelines using Apache Spark to process and transform over 10 terabytes of raw data, resulting in reduction in data processing time and improved data quality• Designed and documented new processes and standard operating procedures (SOPs) using flowcharts and process diagrams, ensuring consistency and clarity across teams.• Played a pivotal role in data migration by performing thorough data mapping and transformation activities. Collaborated with cross-functional teams to analyze and address data discrepancies