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SQL Performance Tuning Guide

Published 1 min readMarkdown
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Shuvojit Kar

Overview:
Designed a comprehensive, developer-facing guide focused on SQL performance optimization for PostgreSQL and BigQuery environments. The guide served as a reference for improving query speed, reducing resource consumption, and applying database best practices across analytics and transactional workloads.

Key Contributions:

  • Structured Documentation: Developed a modular guide with clear sections on indexing strategies, query planning, join optimization, partitioning, and caching.

  • Knowledge Extraction: Collaborated with senior database engineers to translate undocumented tribal knowledge and performance hacks into structured, reusable documentation.

  • Explain Plan Analysis: Included annotated EXPLAIN and EXPLAIN ANALYZE outputs with detailed breakdowns of cost, rows, and runtime behavior.

  • Hands-On Examples: Provided copy-paste-ready SQL examples with sample datasets, expected outputs, and anti-patterns.

  • Impact: Enabled teams to reduce query execution time by 30–60% on high-volume reporting workloads; improved BigQuery cost management by identifying and fixing inefficient scans.

Tech & Tools:
PostgreSQL, BigQuery, SQL, Google Cloud Console, Markdown, Data Studio, GitHub, Jupyter Notebooks

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About the author

  • Shuvojit Kar
    I'm energetic, ambitious person who has developed a mature and responsible approach to any task that I undertake, or situation that I am presented with. I am excellent at working with others to achieve a certain objective on time and with excellence. Customer Engineer| Al/ ML |AI Infrastructure | Cloud Migration |Technical Solution| Vertex AI| Cloud Database |Cloud Networking |DevOps Engineer| Technical Blogger| Generative AI| Google Cloud Ready Facilitator 🌐Linux Linux Professional Institute Certificate Technical Writer \ Cloud Networking Cloud Computing \ Cloud Infrastructure Cloud Consultant \ Customer Engineer 🌐Virtualization - VMware, vSphere, vCenter Server 🌐Programming Skill Technical Skills Proficiency in languages like Java, Python, Scala, or JavaScript. System Administration: Experience with Linux/Unix systems, Windows Server. Networking: Understanding of network protocols, routing, VPC, Subnets, Firewalls, VPNs, Load Balancers, switching, and firewall configurations. Cloud Platforms: Experience with AWS, Azure, or Google Cloud Platform. Databases: Knowledge of SQL and NoSQL databases like MySQL, PostgreSQL, MongoDB. Scripting: Ability to write scripts for automation using Bash, PowerShell, or similar. Monitoring and Logging: Familiarity with tools like Nagios, Prometheus, Grafana, ELK Stack. Configuration Management: Experience with tools like Ansible, Puppet, Chef. DevOps: Knowledge of CI/CD pipelines, Jenkins, Docker, Kubernetes. Security: Understanding of security best practices and tools, Cloud security best practices, IAM, Security Groups, Compliance. Infrastructure as Code: Terraform, CloudFormation, Ansible Compute Services: EC2, GCE, Azure VMs. Storage Solutions: S3, GCS Customer Service Skills:- Communication: Strong verbal and written communication skills. Problem-Solving: Ability to diagnose and resolve technical issues efficiently. Interpersonal Skills: Building and maintaining relationships with clients. Training and Education: Ability to conduct training sessions for clients. Project Management: Managing customer projects and ensuring timely delivery. Knowledge/experience in configuring and supporting devices such as Cisco, Juniper, Checkpoint, etc. Knowledge Cloud Migration, Presale, Data Center relocation, Go-to-Market Strategy. Certifications: AWS Certified Solutions Architect Microsoft Certified: Azure Solutions Architect Expert Google Professional Cloud Architect Certified Kubernetes Administrator (CKA)

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