Amarnath Siliveri

I’m a data engineering intern in an HPC analytics environment, turning complex compute data into reliable pipelines and decisions. I focus on ETL automation, data integrity, and practical reporting that teams can trust.

At Siemens DISW (formerly Altair Engineering), I engineered an automated ETL pipeline (30+ Python scripts) that processed 6–8M ClickHouseDB records monthly across three HPC clusters (CPU, GPU, GPU-AI). By building Python-based workflows and using Cron, I automated monthly utilization reporting (20+ compute/storage utilization reports) to fully replace a manual process, and I ensured correctness with rigorous null-handling while transforming and joining cluster data with LDAP CSVs.

I also stabilized production systems by reverse-engineering installation scripts and logs to identify unreported failures, and I delivered a High Availability deployment for Altair Access 2025 on Linux. Beyond data engineering, I build generative AI and search solutions (RAG with LangChain/Vector Stores and Streamlit apps) and have developed a cough-related early-detection system using Bi-directional LSTM + Time-Distributed CNN (86% accuracy).