PROFESSIONAL SUMMARY
Overview
Work History
Education
Skills
Accomplishments
Timeline

Manognya Allepu

Machinify
Texas,TX
3
years of professional experience

Data Engineer with 3 years of experience designing, developing, and optimizing scalable data solutions within Azure-based environments. Experienced in SQL development, Azure SQL Database, database optimization, and healthcare claims data processing. Skilled in building efficient database objects, optimizing query performance, and supporting enterprise data solutions using Microsoft SQL Server, Azure, and Azure DevOps. Strong experience collaborating with cross-functional teams in Agile environments to deliver reliable, high-quality data solutions while improving performance, data quality, and operational efficiency.

Work History

Data Engineer

3 Years 1 Month
Machinify | 07.2023 - Current
  • Developed SQL-based data solutions to support healthcare payment integrity and claims analytics within an Azure environment.
  • Designed, developed, and maintained complex SQL queries, stored procedures, views, and functions for processing healthcare data.
  • Worked with Azure SQL Database and Microsoft SQL Server to manage structured healthcare datasets.
  • Optimized SQL queries by analyzing execution plans, improving indexing strategies, and reducing execution time for high-volume datasets.
  • Participated in database performance tuning by identifying bottlenecks and implementing optimization techniques that improved query performance and reduced execution time.
  • Assisted in designing reusable database objects that enhanced maintainability and simplified reporting processes, contributing to efficient data management.
  • Collaborated with business analysts and product teams to translate business requirements into optimized SQL solutions that streamlined data processing.
  • Used Azure DevOps for work item tracking, source control, pull request reviews, and deployment coordination.
  • Maintained source code using Git and participated in peer code reviews.
  • Investigated production issues, identified root causes, and implemented database fixes to improve application stability.
  • Automated recurring SQL reporting and data extraction processes, reducing manual effort and improving consistency.
  • Worked in Agile sprints, participating in planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives.
  • Project: Healthcare Payment Integrity & Claims Analytics Platform
  • Environment: Azure | Azure SQL Database | Microsoft SQL Server | SQL | Azure DevOps | Git | SSMS | Visual Studio

Education

Bachelor of Science - Computer Science & Engineering

Kamala Institute of Technology And Science | Huzurabad,Karimnagar | 09-2020

2020

  • 7.5

Master of Science - Computer Science

University Of North Texas | Denton, TX | 05-2023

Skills

Databases: Microsoft SQL Server
Azure SQL Database
SQL databases
Core Skills: SQL Development
Query Optimization
Performance Tuning
Stored Procedures
Views
Functions
Data Validation
Database Design
Data Mining
Healthcare Claims Analysis
ETL development
Data warehousing
Data modeling
Data pipeline development
Development tools
SQL development

Accomplishments

  • Improved SQL query performance through indexing and execution plan optimization.
  • Reduced manual reporting effort by automating recurring SQL data extraction processes.
  • Delivered reliable SQL solutions that supported healthcare payment integrity initiatives and improved operational efficiency.
  • Enhanced database performance and data quality through proactive optimization and validation activities.

Timeline

Data Engineer

Machinify
07.2023 - CurrentRead More

Kamala Institute of Technology And Science

Bachelor of Science from Computer Science & Engineering
Read More

University Of North Texas

Master of Science from Computer Science
Read More
Manognya Allepu