PL/SQL & .NET Core Developer | SQL Optimization | Oracle | SSIS | Angular | Healthcare Claims | TriZetto Facets

Hyderabad, Telangana, India

Bachelor of Technology, Computer Engineering
Aditya University
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If your database is slow, your batch jobs are unreliable, or your claims data is a mess — that's exactly where I come in. I'm a PL/SQL & .NET Core Developer with 4+ years at Cognizant, specializing in healthcare claims processing on TriZetto Facets. I build backend systems that handle millions of records — accurately, quickly, and at scale. What I bring to a role: Deep PL/SQL expertise — packages, procedures, triggers, batch jobs SQL performance tuning — 30% faster query runtimes delivered SSIS ETL development and Power BI & SSRS reporting support .NET Core & Angular for full-stack healthcare solutions Healthcare claims domain knowledge — TriZetto Facets, adjudication workflows, HIPAA compliance Production support instincts — I don't just fix bugs, I find out why they happened I write code that holds up under pressure. Open to PL/SQL, .NET Core, or healthcare IT roles where performance and reliability matter. Mail:uday.siddani@gmail.com
Hyderabad
PL/SQL & .NET Core Developer at Cognizant, Oct 2021 - Present · 4 yrs 9 mos, Hyderabad, Telangana, India, PL/SQL & .NET Core Developer — Cognizant October 2021– Present | Hyderabad, India Client: Emblem Healthcare (TriZetto Facets) Engineered 10+ PL/SQL packages, procedures, and triggers powering claims and membership processing for 1M+ members on the TriZetto Facets platform, maintaining 99.5% uptime across critical adjudication workflows. Optimized 10+ high-volume SQL queries across million-row claims datasets using indexing strategies and execution plan analysis, cutting average query runtime by 30% and reducing downstream processing delays. Designed and maintained backend PL/SQL batch job logic for daily and monthly healthcare claims adjudication workflows, ensuring on-time processing at scale. Led data migration and reconciliation of 2M+ records across 3 systems, achieving 95% data accuracy and maintaining full HIPAA compliance throughout. Built SSIS ETL packages automating data flow between source and reporting systems, supporting SSRS and Power BI dashboards for downstream analytics teams. Accelerated production incident resolution by 20% through structured root cause analysis and proactive SQL optimization, minimizing business disruption to claims workflows. Delivered phase-wise features in a Waterfall SDLC environment, contributing to UAT sign-offs and technical documentation across multiple release cycles.
Bachelor of Technology, Computer Engineering, Aditya University