Abhinav Jaglan

Product Manager

Hisar, Haryana, India3 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in database performance and SQL optimization.
Led initiatives improving customer satisfaction by 25%.
Developed automation tools saving over 120 work hours.

Stackforce AI infers this person is a SaaS Performance Tuning Specialist with strong full-stack development capabilities.

Contact

abhinavjaglan363@gmail.com LinkedIn

Skills

Core Skills

Performance TuningSql TuningFull Stack DevelopmentAutomation

Other Skills

AlgorithmsAnalytical SkillsApache SparkBackend DevelopmentCC++Coaching & MentoringCollaborationCommunicationCustomer SupportData StructuresData VisualizationDatabase MigrationDatabase OptimizationFeature Development

About

I have 3.5+ yrs of professional work experience at Oracle, apart from that I worked in several internships and projects based on myriad of technologies and domain. At Oracle, I am working as a Performance Tuning Specialist with Fusion Apps teams at Oracle. My specialties are database performance and SQL query optimization. I find the root cause of database performance issues and developing solutions that ensure optimal database and application operation. This translates into meeting SLAs and improving end user satisfaction. I also do code reviews of new technical stacks being adopted by Oracle SaaS and establish standards throughout product lifecycle. I work closely with Fusion Applications Development team to solve several critical customer performance issues & tune the products to scale. Recently, I have started working on cutting-edge technology such as Vector databases in Oracle 23ai and Spectra Batch, identifying issues and fixes before development teams uptake these technologies. My experience also includes firm knowledge and exposure in front-end, back-end application development and extensive knowledge of databases(both SQL and NoSQL). I am a team player, and always have a knack of constantly learning and adopting new skills and cutting edge technologies.

Experience

Oracle

2 roles

Senior Member of Technical Staff

Promoted

Oct 2025 – Present · 5 mos · On-site

Optimized entire Projects suite (one of the 9 key product pillars) for 100+ global clients such as AT&T, United Nations, PwC, HSBC in collaboration with Projects teams, boosted client retention and accelerated page load time by 40%.
Identified 45+ critical issues related to SQL code across customers, drove resolution of high-priority performance bottlenecks by collaborating with Fusion development and DevOps teams, helped in performance boosting for end-customers

Performance TuningSQL TuningDatabase OptimizationCollaborationProblem Solving

Member of Technical Staff

Jul 2022 – Sep 2025 · 3 yrs 2 mos · On-site

Led a team of 5 in a strategic initiative to monitor critical customer environments, identified resource-intensive SQL queries. Reported 330+ bugs over the last 2 years to respective SQL code owners to improve system performance and reliability, contributed to increased customer satisfaction and reduced escalations by 25%.
Conducted SQL code reviews for various Oracle internal products like Costing, Elastic search ingestion, etc. Analyzed them and gave suggestions to dev teams, to use good SQL code practices.
Resolved 550+ performance-related customer escalations by diagnosing the root cause, delivered both short and long-term fixes in collaboration with customer support teams to improve performance for customers.
Identified and analyzed the slow running queries in the database by analyzing the AWR, ASH, SQL Health Check reports, Explain/Execution Plans, SQL Monitoring reports etc.
Recommended and gave approvals for SQL profiles and SQL patches for the necessary SQLs as short-term fix to unblock the customer.
Identified and tuned the complex SQL queries by suggesting rewrites/recommendation to dev teams which were consuming high DB Resources.
Spearheaded Oracle 23ai Vector search contributions and completed testing on 30+ test cases. Collaborated with teams namely, Business Intelligence and VectorDB teams on cutting-edge AI research to support innovation in next-gen offerings.

SQL Code ReviewPerformance AnalysisCollaborationProblem SolvingCustomer SupportSQL Tuning+1

Zedd labz

Full Stack Engineer

Oct 2021 – Apr 2022 · 6 mos · Remote

Redesigned and engineered whole backend architecture for both android app and its admin-only website of job-search platform for laborers whose scale was intended to go upto 1M users
Shifted back-end from No-SQL(Firebase) to SQL(PostgreSQL) suiting customer's use-case and functional requirements - wrote scripts to migrate whole data from Firebase to Postgres, firstly tested the scripts in Test data and finally Production data was migrated successfully without any data loss.
Scaled the system to cater for high load using horizontal scaling and Load Balancer, keeping an eye on performance as well
Performed load and stress testing on the application using Locust for various test cases using different VUs swarming the application and monitored the statistics of the system.
After successful implementation of the basic version of app, developed new and advance features in the app for different use-cases like implementation of analytics, personalized job recommendations, rate limiting, API versioning, etc.

Backend DevelopmentDatabase MigrationLoad TestingFeature DevelopmentFull Stack Development

Oracle

Server Tech. Intern

May 2021 – Jul 2021 · 2 mos · Hyderabad, Telangana, India

Build a full-stack tool which automated the tasks of comparing the performance of SQLs across different database versions every quarter.
Process was being done manually till then by my team every quarter, hence saved 120+ work hours and lot of resources annually
Tool displayed a detailed customizable report having top SQL statements which got regressed in the new DB version, and their metric details - aim was to proactively solve an issue which could have been occurred in post version release in any customer env
Developed different filtering, sorting, pictorial representation like graphs, pie-charts, and live monitoring dashboard to facilitate the comparison between performance of executions in 2 versions.

AutomationSQL Performance ComparisonData Visualization