Core data engineering
- Data Engineering
- SQL
- Python
- PySpark
- Apache Spark
- ETL / ELT
- Data Pipelines
- Data Integration
- Data Validation
- Data Warehousing
- Data Quality
- Data Transformation
Open to opportunities
Sunil
Guntupalli
Data Engineer | Cloud Data Engineer
I build reliable data pipelines and cloud-based data platforms that turn raw data into useful, analytics-ready information.
Multiple data sourcesAPIs · files · databases
Azure Data FactoryIngest & orchestrate
01BronzeRaw data
02SilverValidated data
03GoldAnalytics-ready
ADLS + Delta LakeDatabricks · PySpark
Data-quality checks · Error handling · Monitoring
01 / Featured build End-to-end Azure data engineering
DATA ENGINEERING / CLOUD PLATFORMS / RELIABLE INTEGRATIONS
Get to know me01 / About
An engineering foundation.
A data-focused direction.
4+
years of technical experience across enterprise systems, databases, integrations, and production applications.
Open to onsite, hybrid, and remote roles across the United States. Willing to relocate anywhere in the United States.
I’m a Data and Cloud Engineering professional with 4+ years of technical experience across enterprise systems, databases, integrations, cloud environments, APIs, and production applications.
A lot of my work has involved understanding how data moves between systems, working with databases and APIs, troubleshooting production issues, and improving the reliability of integrations and backend workflows.
My career focus is now Data Engineering and Cloud Data Engineering. I’m especially interested in building reliable data pipelines, working with SQL and Python, designing ETL/ELT workflows, improving data quality, and developing scalable cloud-based data platforms.
I’m also building deeper hands-on experience with Azure, Databricks, PySpark, data lakes, and modern data warehousing so I can take on more end-to-end data engineering responsibilities.
What I enjoy most is solving practical engineering problems—figuring out where data is coming from, why something is failing, how different systems depend on each other, and how to make the overall process more reliable and easier to maintain.
I’m currently exploring opportunities as a Data Engineer, Cloud Data Engineer, Azure Data Engineer, Data Platform Engineer, and related data engineering roles.
02 / Skills & focus
Tools for the data lifecycle.
Enterprise engineering experience, with deeper hands-on practice in Azure, Databricks, PySpark, and lakehouse workflows.
- 01Data Engineering
- 02SQL
- 03Python
- 04Microsoft Azure
- 05Azure Databricks
Core data engineering
Azure & data platforms
Databases & streaming
Platform & engineering
03 / Selected projects
From source to useful data.
Current data engineering work, backed by experience building cloud applications and event-driven integrations.
Featured project / 01In Progress
End-to-End Azure
Data Engineering Pipeline
Building an end-to-end cloud data pipeline that ingests data from multiple sources, transforms and validates it, and prepares curated datasets for analytics.
Azure Data Factory orchestrates ingestion into Azure Data Lake Storage. Azure Databricks processes the data with PySpark, Python, and SQL.
The architecture uses Bronze, Silver, and Gold layers and includes data-quality checks, error handling, and monitoring.
Multiple data sourcesAPIs · files · databases
Azure Data FactoryIngest & orchestrate
01BronzeRaw data
02SilverValidated data
03GoldAnalytics-ready
ADLS + Delta LakeDatabricks · PySpark
Data-quality checks · Error handling · Monitoring
An ongoing hands-on build. Architecture shown reflects the project’s intended workflow.
02 / Cloud application
Cloud Cost Optimizer
Cloud analytics application exploring Azure resource analysis, API-backed dashboards, container deployment patterns, and Terraform infrastructure structure.
View on GitHub03 / Event-driven integration
Insurance Claims System
Event-driven claims platform using Kafka and PostgreSQL, with validation workflows, asynchronous status updates, and operational API endpoints.
View on GitHub04 / Experience
Connecting systems.
Supporting production.
Software engineering experience across data integration, cloud environments, and enterprise applications.
Software Engineer | Data & Cloud Platforms
- Build and support cloud-based services that move enterprise data for reporting, operational workflows, and downstream applications.
- Design REST API integrations and PostgreSQL data models for reliable data exchange across internal systems.
- Work with Docker and Kubernetes workloads and support release automation through Jenkins and GitHub Actions.
- Monitor production with Prometheus and Grafana and work with distributed teams to resolve integration, performance, and data-availability issues.
Software Engineer | Data Engineering & Cloud Platforms
- Built backend and data-access services for product workflows, internal reporting, and enterprise integrations.
- Optimized PostgreSQL queries, indexes, and data-access patterns for application performance and reliability.
- Supported API integrations and Kafka event workflows, including message validation, retries, and failure handling.
- Used Docker, Kubernetes, Terraform, and cloud services for repeatable environments; troubleshot database, integration, and application issues.
Software Engineer | Data Integration & Distributed Systems
- Built backend services and integration workflows for enterprise and public-safety technology platforms.
- Designed REST APIs for downstream applications and used Kafka and RabbitMQ for asynchronous processing between distributed services.
- Optimized SQL queries and data-access patterns for high-volume operational datasets.
- Helped split large components into independently deployable services and automated Jenkins CI/CD workflows, with release validation and troubleshooting.
Software Engineering Analyst | Data Integration & IAM
- Worked on identity and access workflows involving users, accounts, roles, entitlements, and access data.
- Built and tested REST integrations and used SQL to validate identity, account, entitlement, and reporting data.
- Supported identity lifecycle, access-review, provisioning, and role-based access processes using SailPoint IdentityIQ.
- Assisted with UAT, defect validation, troubleshooting, and documentation while collaborating with remote teams.
Software Engineer Intern | Data & Analytics Applications
- Used Python and Flask for prototypes and backend workflows supporting application and analytics use cases.
- Worked with SQL-backed data models for application features, reporting, and data validation.
- Integrated interfaces with REST APIs and backend data services.
- Supported Git-based development, pull-request reviews, defect resolution, testing, and release readiness alongside designers and engineers.
Additional experience Student employment
Sodexo · Student Worker | Campus Operations Jul 2024 – May 2025 · Part-time · On-siteCincinnati, Ohio, United StatesSupported university dining operations while completing graduate studies, including inventory, documentation, service coordination, and daily operational processes.
Athenian Hospitality · Student Worker | Hospitality Operations Aug 2023 – Jun 2024 · Part-time · On-siteCincinnati, Ohio, United StatesWorked part-time while studying, supporting hospitality operations, inventory coordination, documentation, and team execution.
05 / Education
Academic foundation.
Graduate education
University of Cincinnati
Master of Engineering, Computer and Information Sciences
Aug 2023 – May 2025Focused on cloud computing, data engineering, distributed systems, and scalable application development through coursework and technical projects.
Undergraduate education
Koneru Lakshmaiah Education Foundation
Bachelor of Technology, Computer Science Engineering
Jul 2018 – Apr 2022Built a foundation in software engineering, databases, programming, computer systems, and problem solving through coursework and technical projects.
06 / Volunteering & leadership
Technical Mentor & STEM Volunteer
Mentored 1,200+ students through technical learning, career guidance, and hands-on workshops.
Delivered 20+ technology workshops with an average participant rating of 4.8/5. Supported STEM initiatives reaching 500+ students through practical examples and peer mentoring.
07 / Contact
Let’s talk about
your data team.
I’m currently exploring Data Engineering and Cloud Data Engineering opportunities across the United States.
Open to full-time and contract roles, with onsite, hybrid, or remote work. Willing to relocate anywhere in the United States.