SQL Server Database Administrator and ETL Developer

Nithesh Huskur Sadashivanna

+1-510-***-**** ********@***.*** linkedin.com/in/nitheshhs

Education

Arizona State University Tempe, AZ

Master of Science in Information Technology; GPA: 4.0 / 4.0 Aug 2025 – May 2027

• Coursework: Big Data Analytics, Machine Learning & Advanced Analytics, Cloud Computing for AI, Database Management Systems, Information Systems Security, System Design Dr. Ambedkar Institute of Technology Bengaluru, India B.E. in Telecommunication Engineering; GPA: 3.3 / 4.0 Aug 2018 – Jul 2022 Professional Experience

ZeOmega Infotech Private Limited Dec 2022 – Jun 2025 Database Administrator Bengaluru, India

• Administered and performance-tuned SQL Server databases (2016–2022) across 4+ healthcare environments, ensuring 99.9% uptime and supporting 24/7 production availability in compliance with change management and security standards

• Optimized SQL queries, indexes, and stored procedures while improving validation, reconciliation, and monitoring processes, reducing query latency by 25–40% and reporting errors by 30–40%

• Monitored database performance, analyzed execution plans, and investigated production issues, collaborating with cross-functional teams to improve reliability and application performance

• Assisted in migration projects across environments and SQL Server versions, and supported Always-On Availability Groups, log shipping, and database mirroring configurations for HA/DR

• Developed and deployed SSRS reports and SSIS packages for ETL workflows, and automated recurring DBA tasks using PowerShell and T-SQL

• Configured SQL Server security settings, managed user roles, and supported audit processes while partnering with analysts and stakeholders to strengthen backend reporting infrastructure Projects

Automated ETL & Data Warehouse Pipeline

• Designed ETL pipelines to integrate data from APIs, CSVs, and SQL databases into a centralized SQL Server warehouse, processing 1M+ records daily

• Developed star-schema data models optimized for Power BI dashboards and analytical reporting workflows, improving reporting accuracy and reducing manual effort by 60% Healthcare Reporting ETL Optimization

• Redesigned SSIS ETL packages processing healthcare claims and member data, reducing runtime by 45% through workflow refactoring and performance tuning

• Enhanced validation and reconciliation logic, decreasing reporting errors by 30% and improving reliability of business reports and operational dashboards

Cloud-Native ETL & Analytics Architecture

• Developed cloud-based ETL workflows using AWS Glue, Athena, and S3 to process and analyze large datasets

• Automated schema discovery and metadata management using Glue Crawlers and Data Catalog, supporting analytical queries and operational monitoring

Technical Skills

Programming Languages: Python, SQL, T-SQL, C++, PowerShell, XML Cloud & Databases: AWS, Microsoft Azure, SQL Server, PostgreSQL Frameworks & Libraries: Apache Spark (PySpark), TensorFlow, Scikit-learn, Pandas, NumPy Tools & Technologies: Git, Power BI, Agile/Scrum, SDLC, CI/CD, ETL/ELT pipeline design, data warehouse modeling, star schema, partitioning, feature engineering, model deployment, technical documentation Certifications

• AWS Certified Cloud Practitioner

• AWS Academy Graduate: Data Engineering – Training Badge, Feb 2026

• AWS Academy Graduate: Machine Learning for Natural Language Processing – Training Badge, Apr 2026

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