
Balakrishna Boddu
Sr Database Administrator
McKinney, Texas, United States
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Possessing a diverse skillset across a range of database technologies, I have a proven track record of success as a Database Administrator. My expertise encompasses a wide array of platforms, including MSSQL Server, MySQL, PostgreSQL, Oracle, Redshift, Hadoop, EMR Cluster, Document Databases, and DynamoDB within AWS and Azure cloud environments.I have a strong foundation in ensuring high availability and data integrity, having successfully designed and implemented robust solutions utilizing SQL Server technologies such as Log Shipping, Database Mirroring, and Always-On Availability Groups. This expertise has consistently minimized downtime and maintained data integrity.Furthermore, I possess in-depth knowledge of database maintenance best practices. I have effectively managed backup and restore operations, implemented comprehensive maintenance plans, and leveraged tools such as SolarWinds, Redgate, and SQL Sentry to optimize database performance.My experience includes performance tuning and query optimization, utilizing SQL Server Dynamic Management Views and Idera Diagnostic Manager to address performance bottlenecks, such as locking, fragmentation, and deadlocks. I have also successfully led the creation and upgrades of database clusters for SQL Server and PostgreSQL, implemented robust access management controls, and established cloud-based monitoring using AWS CloudWatch, Google Cloud, and other tools for proactive issue resolution.I have a proven track record of driving operational excellence. For example, I led the enhancement and optimization of TIDAL Automation, a critical tool for executing production jobs. My modifications resulted in significant performance improvements, reducing execution times and contributing to substantial cost savings for the organization. These optimizations have ensured that applications run 24/7 with minimal disruption.
Area of Expertise
Topics
AWS Redshift
Online Analytical Processing (OLAP) plays a critical role in organizations as it enables the generation of insights from large datasets, helping businesses assess performance and make data-driven decisions. As companies grow, the volume of data increases significantly, presenting a real challenge for timely and efficient data analysis. In this paper, we will explore Amazon Redshift, a highly intelligent and scalable data warehouse solution designed to handle the demands of modern-day data processing. Redshift not only processes vast amounts of data efficiently but also continuously evolves to support complex analytical workloads. This research will focus on understanding the architecture and capabilities of AWS Redshift, its optimization techniques, and its best practices for scaling data analytics operations under heavy workloads.
DeveloperWeek 2025 Hackathon
DeveloperWeek 2025 Hackathon
Information Technology and Artificial Intelligence (ITAI 2025)
Information Technology and Artificial Intelligence (ITAI 2025)
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