Supraja Boddula

Cloud Data Engineer with 3 years of experience building scalable, cloud-based data pipelines using AWS, Snowflake, Python, SQL, Spark and Palantir Foundry. Strong expertise in designing end-to-end ETL workflows, optimizing data ingestion and transformation processes (40%+ performance improvements), and improving data reliability through monitoring and audit frameworks. Implemented solutions reducing mean time to resolution by 25-30%.

Built automated frameworks monitoring 100+ tables, reducing production failures by 35%.

Designed

Power BI dashboards for analytics, supporting data-driven decision-making.

•Designed and developed end-to-end ETL pipelines on AWS, onboarded encrypted third-party data feeds via SFTP, and processed 15+ data sources using AWS Glue, Lambda, and Batch, loaded curated data into Snowflake. •Optimized data ingestion and transformation workflows, reducing processing time by 40-45% and improving data availability SLAs by 30%. •Built automated Source and Process Audit Frameworks in Snowflake to monitor 100+ tables and 50+ scheduled tasks, reducing production failures by 35% through proactive email alerts. •Implemented a ServiceNow integration solution in AWS, automating incident creation for 90% of pipeline failures and reducing mean time to resolution (MTTR) by 25–30%. This solution enabled rapid support team response and resolution, minimized downtime in the production environment. •Developed and optimized Snowflake stored procedures, tasks, and views, applying query tuning and partitioning strategies, resulting in 25–30% faster query execution, a 20% reduction in compute costs, and streamlined data consolidation for analytics dashboards. •Integrated Palantir Data Foundry with external sources like Snowflake, AWS S3 and ServiceNow.

Experience in enabling downstream analytics for business use cases through Pipeline Builder, and code repositories and created processed datasets and Ontology objects along with automated alerts. •Designed and developed Power BI dashboards for job auditing and analytics, enabling monitoring of ETL job status, SLA compliance, failure trends, and automated alerts for SLA breaches. Created interactive visuals, trend analyses, and performance KPIs to track key operational and business metrics, supporting data-driven decision-making. •Collaborated with cross-functional teams including Product Owners, Architects, and stakeholders in an Agile/ Scrum environment to gather requirements, deliver data solutions, and ensure smooth operations; actively participated in code reviews and sprint retrospectives. •Mentored interns on best practices in data processing and optimizing workflows, promoting a culture of continuous learning and knowledge sharing within the team.

VNR Vignana Jyothi Institute of engineering and Technology