Career Profile
With over six years of experience in backend software engineering and cloud automation, I excel at building and optimizing scalable, reliable systems that empower teams to deliver quickly and effectively. I specialize in backend development, infrastructure automation, and distributed systems, leveraging my strong foundation in relational databases, data integration, and CI/CD processes. I’m passionate about collaborating across teams to deliver high-impact, performant solutions that align with business needs.
Experiences
- Enhanced CI/CD pipelines with Azure DevOps, automating testing and deployment workflows to minimize downtime and ensure consistency.
- Architected and maintained complex data pipelines using Azure Fabric and Databricks, focusing on relational database integrity to improve data accessibility and support data governance initiatives.
- Developed backend solutions using Python and Databricks to support scalable, distributed systems for data integration and processing.
- Implemented infrastructure automation with Terraform and Azure DevOps, enabling efficient, repeatable deployments and reducing setup time by 50%.
- Upskilled teams on the Lakehouse data platform, guiding them in the migration process and onboarding to new technologies and processes.
- Automated data ingestion pipelines for integration with multiple APIs (ServiceNow, Azure Purview, MS SQL Server).
- Facilitated cross-functional knowledge sharing through code reviews and technical sessions, ensuring alignment on best practices for performance and maintainability.
- Built a robust data replication process, ensuring consistency and reliability across different environments and optimizing code for high performance and scalability.
- Developed reusable Terraform scripts for streamlined deployments, facilitating quicker setup for internal and client environments.
- Generated customized reports for the Data Governance team, using the Purview API to display dataset classifications and ownership, supporting compliance and transparency.
- Documented backend processes with ERDs, lineage diagrams, and source system graphs, supporting efficient knowledge transfer and high-quality code.
- Automated CI/CD workflows using Python and Bash scripts, reducing manual deployment tasks by 70% and enabling zero-downtime updates.
- Built and maintained backend services and full-stack applications on Google Cloud Platform with React, PHP, and MySQL, ensuring performance and cross-platform responsiveness.
- Developed Bash scripts for automation, optimizing cloud system management and backup processes.
- Developed and maintained Windows Server environments, utilizing Active Directory, MYOB, and SQL to ensure system reliability and performance.
- Designed and implemented a Microsoft Access database for efficient client information storage and retrieval, improving data organization and accessibility.
- Developed a thread-safe ring buffer in C++ using mutexes, condition variables, and platform-specific atomic operations, ensuring efficient data transfer and synchronization in multithreaded environments.
Certifications
Projects
Medical Discharge Report Segmentation (Thesis)
- Developed an NLP and machine learning solution to segment medical reports by section, achieving 92% accuracy across 17 unique sections.
AniScrape
- Designed and implemented a web scraping solution using Selenium and Python to efficiently retrieve anime data from a target website. Integrated this solution with the Overseerr API, automating content requests and enhancing personal media management.