I’m a Data & Visualization Engineering Professional passionate about transforming raw data into interactive insights that drive business decisions.
My focus lies at the intersection of data engineering, visualization, and automation, helping teams turn complex information into accessible, action-ready solutions.
- 🧩 Design & Build Data Pipelines – turning messy operational and geospatial data into well-modeled, analytics-ready structures using Python, SQL, and cloud-native tools.
- 📊 Develop Insightful Dashboards – crafting intuitive BI dashboards with Power BI, Sisense, and Tableau that combine visual storytelling with data governance and security.
- ☁️ Leverage the Cloud – building data and backup architectures across AWS and Azure, focusing on cost optimization, scalability, and automation.
- 🧭 Integrate Location Intelligence – combining GIS data, shapefiles, and APIs to create dynamic spatial visualizations for fleet monitoring and delivery optimization.
- 🔐 Enable Data Transparency – embedding metadata management, RBAC, and quality checks to ensure trust and compliance in every dataset.
| Category | Tools & Technologies |
|---|---|
| Programming | Python, SQL (PostgreSQL, SSMS), R, C#, JavaScript |
| Data & Cloud | AWS (Glue, Redshift, S3), Azure (Data Factory, Blob, DevOps), Spark |
| Visualization | Power BI, Sisense (Elasticubes, Blox), Tableau, QuickSight |
| Automation | GitHub Actions, Azure DevOps, Terraform, PowerShell |
| Governance | Collibra, Lineage Mapping, Data Quality Automation |
| Geo Analytics | GeoJSON, Spatial SQL, ArcGIS Maps, Coordinate Mapping |
Tools: Sisense, Power BI, React.js, PostgreSQL
Developed interactive dashboards combining GPS and operational data to track route performance, optimize delivery zones, and identify inefficiencies. Introduced live map layers using GeoJSON and custom widgets for real-time monitoring.
Tools: Azure Data Factory, AWS S3, Python
Built an automated data retention workflow between Azure and AWS that performed daily snapshots, lifecycle management, and secure data transfers with RBAC and encryption controls.
Tools: Azure DevOps, Databricks, Helm
Implemented multi-environment CI/CD pipelines for Azure Data Factory and Databricks notebooks, integrating infrastructure-as-code for reproducible, fast, and governed deployments.
Tools: AWS Glue, Redshift, Power BI, Tableau
Automated data processing pipelines and built KPI dashboards that reduced reporting latency, improved SLA visibility, and supported predictive analytics for key business operations.
🎓 M.S. in Computer Science – Auburn University at Montgomery (2023–2024)
🎖️ Certifications:
- Microsoft Certified: Azure Administrator (AZ-104)
- Microsoft Certified: DevOps Expert (AZ-400)
- Microsoft Certified: Azure Fundamentals (AZ-900)
💼 LinkedIn: linkedin.com/in/gayathrikchowdary
✨ I love connecting technology, data, and design to make analytics simple, intelligent, and impactful.