Neha Gangireddy
Reddy
Transforming complex data into clear, business-ready insights
Turning Data Into
Decisions
I'm a self-motivated technologist who genuinely loves solving problems with data. There's something deeply satisfying about taking a messy dataset or an unclear business question and turning it into something actionable—a clean pipeline, a dashboard that actually gets used, or an insight that changes how a team operates.
Over the years, I've worked with SQL, Python, and modern data tools to build ETL pipelines, reporting systems, and analytics solutions across healthcare, finance, and enterprise systems. I've learned that good data work isn't just about writing efficient queries—it's about understanding what the business actually needs and translating that into something technical teams can build and maintain.
What sets me apart is my ability to bridge the gap between technical complexity and business clarity. I take ownership of projects from requirements gathering through delivery, collaborate effectively with cross-functional teams, and consistently deliver solutions that make a measurable impact.
Analytical Thinking
Breaking down complex problems into data-driven solutions
Cross-Functional Collaboration
Bridging technical teams and business stakeholders
Ownership & Delivery
Taking projects from concept to production
Translating Requirements
Converting messy business needs into clear technical specs
What I Bring to the Table
A blend of analytical depth, technical skill, and collaborative spirit— delivering data solutions that make a real business impact.
Data & Analytics
- Building and optimizing SQL-based ETL pipelines and complex queries for reporting and analytics
- Working with large datasets to support operational and strategic decisions
- Experience across healthcare, finance, and enterprise systems domains
- Creating dashboards and reports that drive data-informed decision making
Engineering Projects
- Designing and contributing to full-stack and data-intensive systems supporting many users
- Building healthcare platforms, claims systems, and inventory/e-commerce solutions
- Implementing automation that improves performance and reduces manual work
- Developing reporting solutions that increase reliability and visibility
Collaboration
- Partnering with business stakeholders to gather and clarify requirements
- Working with operations teams to understand workflow and pain points
- Collaborating with technical teams to design and implement solutions
- Translating complex business needs into working analytics and engineering deliverables
Technical Toolkit
A comprehensive skill set spanning data engineering, analytics, and the soft skills needed to deliver meaningful business outcomes.
Data & Analytics
Programming & Tools
Domain & Soft Skills
Also experienced with:
Academic Foundation
Quantitative & Technical Background
With a strong academic foundation in Mathematics and Computer Science, Neha developed the analytical rigor and logical thinking that now powers her work in data and analytics.
This education provided deep training in quantitative reasoning, statistical methods, and structured problem-solving—skills that translate directly into building robust data pipelines, writing efficient queries, and extracting meaningful insights from complex datasets.
Work That Delivers
Selected projects showcasing data engineering, analytics, and automation solutions that created measurable business value.
Executive Reporting Dashboard
Data VisualizationDesigned and built a Power BI dashboard suite for executive leadership, consolidating data from multiple operational systems into real-time KPI tracking. The solution replaced weekly manual reports and provided instant visibility into key metrics.
Impact: Reduced report generation time by 85% and enabled same-day decision making for operations leadership.
Healthcare Claims ETL Pipeline
Data EngineeringArchitected and implemented a scalable ETL pipeline using Azure Data Factory and Databricks to process healthcare claims data. Built data quality checks and automated error handling to ensure compliance and accuracy.
Impact: Improved data processing speed by 60% while reducing data quality issues by 40%, supporting faster claim adjudication.
Inventory Analytics Automation
Python & SQLDeveloped an automated analytics solution using Python and SQL to track inventory levels, predict stockouts, and optimize reorder points. Integrated with existing ERP systems to provide daily actionable recommendations.
Impact: Decreased stockout incidents by 35% and reduced excess inventory holding costs by 20%.
Financial Reporting Optimization
SQL & PerformanceRedesigned and optimized a suite of SQL queries and stored procedures powering critical financial reports. Implemented indexing strategies, query refactoring, and caching to dramatically improve performance.
Impact: Cut average query execution time from 45 minutes to under 3 minutes, enabling timely month-end close.
Operational Data Warehouse
Data ArchitectureLed the design and implementation of a Delta Lake-based data warehouse on Azure Databricks. Established data modeling standards, built medallion architecture (bronze/silver/gold), and created self-service data marts.
Impact: Enabled 50+ business users to access trusted data independently, reducing ad-hoc data requests by 70%.
Ready to Turn Your
Data Into Decisions?
I'm actively exploring opportunities in data analytics, data engineering, and related technology roles where I can make an impact with data-driven solutions.
Recruiters & Hiring Managers
Looking for a data-driven problem solver who can hit the ground running on analytics and data engineering projects.
Teams Needing Data Help
Want to make better decisions with your data but struggling with messy pipelines, slow reports, or unclear requirements.