As a Software Development Engineer II and the Operational Excellence Bar Raiser of the Forecasting Data Discovery Acquisition team, I designed and built a new ingestion system while improving the team's operational posture.Highlights:• Communicated efficiently with my customers to clearly understand their use cases throughout the design and implementation stages. This helped resolve ambiguity caused by 3 large Amazon Business data model changes.• Designed and built a real-time ingestion system for the Amazon Business Planned Spend customer agreement data to align with the Amazon S-team objectives.• Used AWS SQS, Lambda, Kinesis Firehose, S3 and Glue to deliver an input dataset to the Forecasting model teams.• Data Quality System Forecasting data quality check feature implementation in Scala, Kotlin and Typescript.

As a member of the Forecasting Data Discovery Acquisition team, I designed and built components to support our Privacy On-Demand Data deletion goal (GDPR compliance).Highlights:• Working with customers to understand their requirements and uses cases when defining the schema for the On-Demand data deletion orchestration AWS S3/Glue tables.• Created a new ingestion pattern to ingest large input files capable of processing 13 million json records per file.• Used AWS SNS, SQS, Lambda and S3.• Identified a critical bug in a common code package that could have caused any consumer system to fail.

As a part-time security consultant with 4 years of experience, I have hands-on experience working with customers to improve their Cloud, Infrastructure and Application security posture and ensure their information and assets are protected. Highlights: • Hardened a TLS web server, identifying cryptographic failures and permissive directories. • Leveraged my proficiency in shell scripting and object-oriented programming to develop numerous Bash/Powershell scripts to automate security audits and deploy essential security tools.• Configured an Active Directory Domain Controller on Windows Server 2019. Configured Group Policy Objects to deploy security policies to over 500 workstations. • Conducted a thorough LAN security assessment using offensive security techniques with Kali Linux • Managed virtual servers with ESXi and KVM hypervisors.• Revised Palo Alto Networks firewall rules to adhere to best practices.• Quickly adapted and learned Python for web scraping to develop an innovative algorithm to notify users of new VLC security updates, showcasing my aptitude for staying ahead of the curve and finding creative solutions to complex problems.

As a member of the Forecasting Storage and Access team, I was assigned an intern project with production value. The project’s goal was to provide to the team visibility on the limitations of their Glue data catalog system. Highlights:• After gathering and defining the requirements, I focused specifically on AWS Glue and S3, paramount cloud services used by the system. • Moved forward with the creation of a design that leveraged a variety of AWS services such as Batch, S3, SQS, Lambda and QuickSight for the end user interface.• Completed the implementation stage successfully, leveraging AWS CDK to build a full CI/CD pipeline to simplify future system maintenance and growth. The tool has been used in production by the team for over a year now.

Utilized my C++ and C knowledge to resolve customer tickets and to develop new features for Trend Micro's Deep Security Agent. Highlights: • Solidified my understanding of data structures as I built a feature to autonomously collect metrics from the Log Inspection engine.• Resolved shared library issues that were impacting the deployment of scripts inside RedHat and Debian Docker containers.• Improved my critical thinking and problem solving skills by fixing bugs in the Application Control and Integrity Monitoring modules• Gained experience using the CI/CD Jenkins server and Amazon EC2 instances to create product builds for testing.• Used the AWS CLI to store updated Docker images on AWS ECR.

Teacher Assistant for the first year engineering course named "Introduction to Computer Programming for Engineers (APSC 143)". Highlights: • Marked weekly lab assignments written in C, Arduino, and MATLAB.• Followed a systematic methodology to provide efficient code reviews• Leveraged my written communication skills to provide feedback