Shriya Bannikop

Alarming for Data Centers (Global Scale, multi-regions, distributed Systems, Micro services) • Designed and built a fully automated Kinesis autoscaling platform for global data center telemetry, managing 100,000+ shards across multiple regions and processing 100M+ records per minute. • Implemented both threshold-based and utilization-based scaling logic, batching API calls, rebuilding core algorithms from scratch while maintaining stability under changing requirements in 2 weeks. • Automated routine operational scripts using ML-based heuristics, improving team productivity and reducing shard management overhead by 25%. • Led architectural decisions between Lambda and Fargate, building a containerized Fargate solution for long-running, fault-tolerant workloads. • Designed and deployed safe, progressive rollouts using dry-run and pipeline deployments for zero-downtime, region-by-region production migration. • Built high-scale load testing production data replay frameworks to validate system performance under peak traffic conditions. • Automated service quota management via internal scripts, reducing manual dependencies and scaling-related incidents. • Designed and implemented canary and private API end-to-end tests to safely validate metrics in isolated environments. • Implemented robust automated unit, integration, canary, and load testing frameworks for long-term reliability. • Partnered with cross-functional, globally distributed teams including AI researchers, product managers, and design engineers to drive architecture alignment, unblock CI/CD pipelines, and deliver production-quality systems at scale. • Served on-call rotations, resolving high-severity incidents within hours, integrating AI tools to reduce resolution time by 70% and maintaining system stability across global data centers.

Teaching Associate (Python Programming) • Guided students through practical exercises, resulting in 25% improvement in their grasp of Python, Data Structures and OOP concepts. • Automated testing by writing tester code to evaluate student lab submissions using Unit test

-Collaborated with top-tier clients to gather requirements and develop SRS documents. - Delivered 100+ SQL-based reports for upper management, driving key decisions. - Supported initiatives on SAP, S/4HANA adoption, applying Clean Core principles to minimize custom code and improve long-term upgradeability. -Optimized data consistency across systems by querying and analyzing large datasets using SQL and Impala on SAP tables. - Wrote and reviewed multiple technical design options, evaluating modern SAP development approaches including CDS Views, RESTful ABAP Programming Model (RAP), and advanced object-oriented design patterns to improve scalability and maintainability. -Automated file transfers from Git to HDFS using Python. - Created a Python script and established a cronjob to execute the process, resulting in a significant reduction in processing time and increased efficiency -Managed sprint deliverables, ensuring timely completion of tasks. -Developed and tested solutions aligned with compliance requirements and acceptance criteria.

->Worked on eclipse plugin development (Java, JFace, SWT) ->Collaborated with Eclipse Plugin development team on data integration and migration of tables from JFace to Nattable. ->Enhanced plugin functionality by 25% through successful integration and optimization efforts. ->Contributed to design discussions and decision-making processes, improving overall system architecture.

• Built and optimized data by collecting, extracting, cleaning, analyzing large datasets, improving model performance by 30%. • Managed 10+ projects through the full software development lifecycle, from design and development to testing and deployment. • Created documentation for 10 APIs and data science tools to support team collaboration with QA engineers, UX designers.