Healthcare Data Platform
Built scalable ELT pipelines using Snowflake, dbt, and AWS S3 to process healthcare claims data, improving availability and reducing manual preparation.
Mano Harsha Sappa
Analytics Engineer
Specialized in Snowflake • dbt • SQL • Data Modeling
Fairfax, VA · United States
Building Scalable Data Systems
for Business Intelligence
Healthcare & Financial Analytics
Analytics Engineer with 5+ years of experience designing scalable data pipelines, dimensional models, and analytics systems across healthcare and financial domains. Specialized in SQL, Snowflake, dbt, Python, and cloud platforms to build reliable, production-ready data solutions that drive business decisions.
5+
Years Experience
20+
Data Pipelines Built
35%
Efficiency Improvement Delivered
Hands-on experience with these companies.
Featured Experience
Featured Data Engineering & Analytics Work
Real-world systems built across healthcare and financial domains
Analytics Engineering Platform
Developed scalable SQL pipelines, dimensional models, and BI dashboards improving reporting efficiency and reducing manual effort.
Data Pipeline & BI Systems
Designed SQL-based reporting pipelines and dashboards improving accuracy and enabling data-driven decisions.
Additional Projects
Organized by capability area for quick recruiter review across AI, data engineering, and analytics delivery.
Predictive & AI Systems
Predictive, generative, and decision intelligence systems
DARIA-3o: Tunnel NDE QA Chatbot
Built a retrieval-augmented QA chatbot for technical inspection workflows using LLMs, FAISS, Whisper, and LangChain.
Bridges at Risk – Lifespan & Deterioration
Applied PySpark and ensemble ML models to analyze deterioration patterns and maintenance risk for infrastructure assets.
YouTube Performance Prediction
Predicted engagement metrics using regression modeling, feature engineering, exploratory analysis, and hyperparameter tuning.
EV Adoption Analysis
Used regression, clustering, and PCA to identify the primary drivers of EV adoption across U.S. regions.
Credit Card Fraud Detection (Autoencoder)
Implemented unsupervised anomaly detection on imbalanced transaction data using Keras and TensorFlow autoencoders.
Pipelines & Platforms
Pipelines, orchestration, and platform delivery
KSAMDS – Hybrid Azure–AWS Data Engineering Platform
Built a hybrid Azure-AWS analytics platform using Databricks, ADF, Synapse, and Terraform for KPI-driven workforce analytics.
Azure IoT & Databricks Pipeline
Designed a streaming and batch data pipeline integrating Azure IoT Hub, Stream Analytics, Databricks, and PySpark MLlib.
Healthcare Claims Analytics Platform
Built an end-to-end healthcare analytics system using Snowflake, dbt, Python, and Power BI to analyze claims patterns and improve operational insights.
Library Data Management & Analytics System
Created a relational data system with SQL reporting to track circulation, usage behavior, and library operations.
Analytics & BI
Dashboards, decision support, and visual storytelling
NYC Recycling Efficiency Analysis
Created analytics and visualizations using Python, R, and SQL to evaluate city-wide recycling performance.
Transforming Misleading Graphs into Insightful Visuals
Redesigned misleading charts into clearer decision-support visuals that reduce bias and improve analytical interpretation.
Traffic Collision Analysis
Analyzed collision patterns to identify high-risk zones and the factors most associated with road safety outcomes.
Optimizing Recycling Efficiency in NYC
Assessed district-level waste data to surface recycling patterns and support sustainable resource management decisions.
Core Expertise
Delivering scalable data solutions across healthcare and financial analytics
Analytics Engineering & Data Modeling
Designing scalable data models and analytics layers for healthcare and financial reporting systems, enabling accurate and consistent business insights.
Dimensional Modeling
Star Schema
Data Marts
Metric Standardization
Data Layer Design
SCD
Fact & Dimension Tables
Surrogate Keys
Data Normalization
Transformation Logic
Data Pipelines & Cloud Platforms
Building reliable ELT pipelines and cloud-based data platforms for processing large-scale healthcare and financial datasets.
Snowflake Warehousing
Query Optimization
dbt Models & Tests
dbt Macros
Incremental Loads
AWS S3 Data Lake
Azure Data Factory Pipelines
ADF Triggers & Dataflows
Airflow DAGs
Workflow Automation
Business Intelligence & Decision Systems
Transforming complex data into actionable insights through dashboards and KPI-driven analytics for business decision-making.
Power BI Dashboards
DAX
Power BI Data Modeling
Tableau Storytelling
Advanced SQL
Joins & Window Functions
KPI Reporting
Dashboard Development
Metrics Design
Operational Reporting
Tools & Technologies
SQL
Python
dbt
Snowflake
Apache Airflow
AWS (S3)
Azure (ADF, SQL)
Power BI
Tableau
Git
Excel (Advanced)
Databricks
PySpark
Professional Experience
0+
Years Experience
Building expertise across Data Engineering, Analytics, and Cloud
Wipro
1+ Years Experience
Built strong foundation in SQL, reporting, and data validation
Accenture
2+ Years Experience
Scaled analytics systems, data modeling, and BI solutions
Cigna 5+
Present
Working on healthcare data pipelines & cloud analytics
Analytics Engineer (Healthcare Data Platform)
At Cigna, I worked on building scalable data pipelines to process large-scale healthcare claims data, where the biggest challenge was ensuring data availability while reducing manual preparation efforts across analytics teams. I designed and implemented ELT pipelines using Snowflake, dbt, and AWS S3, which significantly improved data accessibility and reduced operational overhead. To enhance performance, I restructured dimensional data models for financial and claims reporting, enabling faster query execution and more efficient analytics workflows. I also introduced data validation and monitoring mechanisms using Python, which improved data quality and minimized reporting errors. By collaborating closely with engineering and business teams, I ensured the delivery of reliable, analytics-ready datasets that supported better operational and financial decision-making.
Snowflake
dbt
AWS S3
Python
Data Modeling
Data Analyst (Advanced Analytics & BI Engineering)
At Accenture, I focused on developing scalable analytics solutions by integrating multiple data sources into structured SQL pipelines. One of the key challenges was reducing manual reporting effort while maintaining consistent and reliable metrics across business teams. I designed dimensional data models and curated data layers that streamlined reporting workflows and improved efficiency. Additionally, I built interactive dashboards using Power BI and Tableau, enabling stakeholders to track performance and make data-driven decisions. By automating reporting processes with Python and SQL, I significantly reduced turnaround time and improved consistency. My work also involved collaborating with cross-functional teams to translate business requirements into scalable analytics solutions.
SQL
Power BI
Tableau
Python
Dimensional Modeling
Data Analyst
At Wipro, I worked on improving reporting systems by developing SQL-based data extraction and transformation processes. The primary challenge was transitioning from manual reporting to more efficient, automated workflows. I built dashboards using Power BI that provided visibility into operational and financial metrics, helping stakeholders make informed decisions. I also performed data cleaning and validation to ensure accuracy and reliability across datasets. Through exploratory data analysis, I identified key trends and provided actionable insights that supported business performance improvements. This experience helped me build a strong foundation in data analytics, reporting, and business intelligence systems.
SQL
Power BI
Data Validation
EDA
Business Intelligence
Professional Certifications
Professional Cloud & Data Engineering Certifications
I hold professional certifications across major platforms including Microsoft Azure, AWS, NVIDIA for accelerated data science, and Salesforce Agentforce. These certifications validate my expertise in cloud data engineering, AI analytics, and building secure, scalable solutions in multi-cloud environments.
Multi-Cloud Engineering
Data Pipelines & ETL
Cloud Architecture
Data Warehousing
AI & Accelerated Computing
Enterprise Security
Total Certifications: 8 • Focus Areas: Cloud · Data Analytics · DevOps · Programming
Microsoft Certified: Azure Data Engineer Associate
Microsoft · Jan 2026
AWS Certified Data Engineer – Associate
Amazon Web Services · Jan 2026
NVIDIA Certified Professional – Accelerated Data Science
NVIDIA · Jan 2026
Salesforce Certified Agentforce Specialist
Salesforce · Dec 2025
AWS Academy Cloud Foundations
AWS · Mar 2024
Tata Group – Data Visualisation
Forage · Mar 2025
DevOps Foundations: Microservices
CompTIA · Feb 2025
Python (Basic)
HackerRank · Apr 2025
Generative AI – A Way of Life
Analytics Vidhya · Mar 2025
Intro to Career Skills in Data Analytics
LinkedIn Learning · Feb 2025
Business Analysis Foundations
LinkedIn Learning · Feb 2025
Excel VBA: Managing Files and Data
LinkedIn Learning · Mar 2025
Research Publication
Implementation and Analysis of Parallel Prefix Adders using FPGA
Second International Conference on “Computational and Intelligent Techniques for Automation of Engineering Systems” (CITAES’22) · Jul 29, 2022
This research presents an in-depth design and analysis of Parallel Prefix Adders (PPAs) implemented using FPGA, comparing architectures such as Ladner Fischer, Kogge Stone, Spanning Tree, and Brent Kung. The work evaluates power consumption, delay, and FPGA utilization using Xilinx ISE to identify optimal adder designs.
Recognized for its contributions to FPGA-based computing and optimization, this project received the Best Paper Award at the CITAES’22 conference.
Let’s Create Something Amazing
Have questions, project ideas, or collaboration opportunities? Reach out anytime — I usually respond within 24 hours.
Contact Details
Mano Harsha Sappa
Data Analytics Graduate Student
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Location Fairfax, VA, USA
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WhatsApp +1 571-663-9406
Open to collaborations, internships, and data/AI projects. If something you’re building touches data, analytics, or AI — I’d love to hear about it.
Available for new projects
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